Updated on 2026/08/04

写真a

 
takeyama saori
 
Organization
School of Engineering Assistant Professor
Title
Assistant Professor
Homepage
https://sites.google.com/view/saori-takeyama/home
External link

Research Interests

  • image restoration

  • hyperspectral imaging

Research Areas

  • Informatics / Perceptual information processing  / 信号処理

  • Informatics / Perceptual information processing  / 画像処理

Education

  • Tokyo Institute of Technology

    2018.4 - 2021.3

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    Country： Japan

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  • Tokyo Institute of Technology

    2016.4 - 2018.3

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    Country： Japan

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  • Tokyo Institute of Technology

    2012.4 - 2016.3

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    Country： Japan

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Research History

  • Institute of Science Tokyo   Assisitant Professor

    2024.10

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    Country：Japan

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  • Tokyo Institute of Technology   Assisitant Professor

    2021.4 - 2024.9

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  • Japan Society for the Promotion of Science

    2018.4 - 2021.3

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    Country：Japan

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Professional Memberships

  • Institute of Electrical and Electronics Engineers (IEEE)

    2016.10

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Committee Memberships

  • 電子情報通信学会   信号処理研究専門委員会 専門委員  

    2021.6   

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    Committee type：Academic society

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Papers

  • HYPERSPECTRALIZATION: HYPERSPECTRAL IMAGE RECONSTRUCTION FROM A PATCH-SAMPLED OBSERVATION Reviewed

    Saori Takeyama

    IGARSS 2025-2025 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM   2025.8

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    Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.1109/IGARSS55030.2025.11242991

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  • Robust Hyperspectral Image Fusion With Simultaneous Guide Image Denoising via Constrained Convex Optimization Reviewed

    Saori Takeyama

    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING   2022

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    Authorship：Lead author,　Corresponding author   Publishing type：Research paper (scientific journal)  

    DOI： 10.1109/TGRS.2022.3224480

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  • A Constrained Convex Optimization Approach to Hyperspectral Image Restoration with Hybrid Spatio-Spectral Regularization Reviewed

    Saori Takeyama

    REMOTE SENSING   12 ( 21 )   3541 - 3541   2020.10

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    Authorship：Lead author,　Corresponding author   Publishing type：Research paper (scientific journal)  

    DOI： 10.3390/RS12213541

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  • Compressed Hyperspectral Pansharpening. Reviewed International journal

    Saori Takeyama, Shunsuke Ono

    IEEE International Conference on Image Processing(ICIP)   2855 - 2859   2020.10

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    Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1109/ICIP40778.2020.9190700

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    Other Link： https://dblp.uni-trier.de/db/conf/icip/icip2020.html#TakeyamaO20

  • Joint Mixed-Noise Removal and Compressed Sensing Reconstruction of Hyperspectral Images via Convex Optimization. Reviewed

    Saori Takeyama, Shunsuke Ono

    IEEE International Geoscience and Remote Sensing Symposium(IGARSS)   1492 - 1495   2020.9

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    Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1109/IGARSS39084.2020.9323489

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    Other Link： https://dblp.uni-trier.de/db/conf/igarss/igarss2020.html#TakeyamaO20

  • Hyperspectral Pansharpening Using Noisy Panchromatic Image Invited Reviewed

    Saori Takeyama, Shunsuke Ono, Itsuo Kumazawa

    2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)   880 - 885   2018.11

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    Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

    DOI： 10.23919/apsipa.2018.8659523

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  • Predicting DNA replication–related protein expression at the nucleus level from HE: A deep learning study with same-specimen paired data

    Takumi Urata, Saori Takeyama, Fumikazu Kimura, Kengo Ohshima, Keiko Ishii, Cunyuan Ji, Gen Takagi, Masahiro Yamaguchi

    Acta Histochemica   128 ( 2 )   152334 - 152334   2026.6

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    Publishing type：Research paper (scientific journal)   Publisher：Elsevier BV  

    DOI： 10.1016/j.acthis.2026.152334

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  • Angular-multiplexed animated computer generated holograms calculation method in hardcopy

    Saori Takeyama

    OPTICS COMMUNICATIONS   2026

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    Publishing type：Research paper (scientific journal)  

    DOI： 10.1016/J.OPTCOM.2026.133165

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  • Papanicolaou stain unmixing for RGB image using weighted nucleus sparsity and total variation regularization

    Nanxin Gong, Saori Takeyama, Masahiro Yamaguchi, Takumi Urata, Fumikazu Kimura, Keiko Ishii

    Medical & Biological Engineering & Computing   2025.12

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    Publishing type：Research paper (scientific journal)   Publisher：Springer Science and Business Media LLC  

    Abstract

    The Papanicolaou stain, consisting of five dyes, provides extensive color information essential for cervical cancer cytological screening. The visual observation of these colors is subjective and difficult to characterize. Direct RGB quantification is unreliable because RGB intensities vary with staining and imaging conditions. Stain unmixing offers a promising alternative by quantifying dye amounts. In previous work, multispectral imaging was utilized to estimate the dye amounts of Papanicolaou stain. However, its application to RGB images presents a challenge since the number of dyes exceeds the three RGB channels. This paper proposes a novel training-free Papanicolaou stain unmixing method for RGB images. This model enforces (i) nonnegativity, (ii) weighted nucleus sparsity for hematoxylin, and (iii) total variation smoothness, resulting in a convex optimization problem. Our method achieved excellent performance in stain quantification when validated against the results of multispectral imaging. We further used it to distinguish cells in lobular endocervical glandular hyperplasia (LEGH), a precancerous gastric-type adenocarcinoma lesion, from normal endocervical cells. Stain abundance features clearly separated the two groups, and a classifier based on stain abundance achieved 98.0% accuracy. By converting subjective color impressions into numerical markers, this technique highlights the strong promise of RGB-based stain unmixing for quantitative diagnosis.

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    DOI： 10.1007/s11517-025-03490-z

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    Other Link： https://link.springer.com/article/10.1007/s11517-025-03490-z/fulltext.html

  • RingFlowUI: 3D Interface System using Ring-mounted Camera

    Matthew Ichikawa, Saori Takeyama, Masahiro Yamaguchi

    Proceedings of the SIGGRAPH Asia 2025 Posters   1 - 2   2025.12

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    Publishing type：Research paper (international conference proceedings)   Publisher：ACM  

    DOI： 10.1145/3757374.3771533

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  • Quantification-based explainable artificial intelligence for deep learning decisions: clustering and visualization of quantitative morphometric features in hepatocellular carcinoma discrimination

    Gen Takagi, Saori Takeyama, Tokiya Abe, Akinori Hashiguchi, Michiie Sakamoto, Kenji Suzuki, Masahiro Yamaguchi

    Journal of Medical Imaging   12 ( 06 )   2025.10

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    Publishing type：Research paper (scientific journal)   Publisher：SPIE-Intl Soc Optical Eng  

    DOI： 10.1117/1.jmi.12.6.061407

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  • Estimation of a shift-variant imaging system matrix using sparsity constraint Invited

    36 ( 8 )   2025.8

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    Authorship：Lead author,　Corresponding author   Language：Japanese   Publishing type：Research paper (scientific journal)  

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  • Robust Papanicolaou Stain Quantification Insensitive to Imaging System Variations by Sparsity-based Stain Unmixing Reviewed

    Saori Takeyama

    2025 47TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)   2025.7

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    Language：English   Publishing type：Research paper (scientific journal)  

    DOI： 10.1109/EMBC58623.2025.11254226

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  • Dual-Branch Deep Learning-Based Classification of Fluorescence Images from “click-to-sense” assay for Intraoperative Diagnosis Reviewed

    Wenlin Li, Saori Takeyama, Tomonori Tanei, Koji Morimoto, Ambara R. Pradipta, Katsunori Tanaka, Masahiro Yamaguchi

    International Forum on Medical Imaging in Asia 2025   2025.3

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  • Dye amount quantification of Papanicolaou-stained cytological images by multispectral unmixing: spectral analysis of cytoplasmic mucin. Reviewed International journal

    Saori Takeyama, Tomoaki Watanabe, Nanxin Gong, Masahiro Yamaguchi, Takumi Urata, Fumikazu Kimura, Keiko Ishii

    Journal of medical imaging (Bellingham, Wash.)   12 ( 1 )   017501 - 017501   2025.1

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    PURPOSE: The color of Papanicolaou-stained specimens is a crucial feature in cytology diagnosis. However, the quantification of color using digital images is challenging due to the variations in the staining process and characteristics of imaging equipment. The dye amount estimation of stained specimens is helpful for quantitatively interpreting the color based on a physical model. It has been realized with color unmixing and applied to staining with three or fewer dyes. Nevertheless, the Papanicolaou stain comprises five dyes. Thus, we employ multispectral imaging with more channels for quantitative analysis of the Papanicolaou-stained cervical cytology samples. APPROACH: We estimate the dye amount map from a 14-band multispectral observation capturing a Papanicolaou-stained specimen using the actual measured spectral characteristics of the single-stained samples. The estimated dye amount maps were employed for the quantitative interpretation of the color of cytoplasmic mucin of lobular endocervical glandular hyperplasia (LEGH) and normal endocervical (EC) cells in a uterine cervical lesion. RESULTS: We demonstrated the dye amount estimation performance of the proposed method using single-stain images and Papanicolaou-stain images. Moreover, the yellowish color in the LEGH cells is found to be interpreted with more orange G (OG) and less Eosin Y (EY) dye amounts. We also elucidated that LEGH and EC cells could be classified using linear classifiers from the dye amount. CONCLUSIONS: Multispectral imaging enables the quantitative analysis of dye amount maps of Papanicolaou-stained cytology specimens. The effectiveness is demonstrated in interpreting and classifying the cytoplasmic mucin of EC and LEGH cells in cervical cytology.

    DOI： 10.1117/1.JMI.12.1.017501

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  • Image Quantification Analysis of Cytoplasmic Mucin and Interpretation of Mucin Color in Lobular Endocervical Glandular Hyperplasia. Reviewed International journal

    Fumikazu Kimura, Kengo Ohshima, Ryo Kanai, Takumi Urata, Takaki Kobayashi, Saori Takeyama, Masahiro Yamaguchi, Shiho Asaka, Keiko Ishii

    Acta cytologica   69 ( 2 )   131 - 143   2025

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    INTRODUCTION: Although the widespread use of screening tests and HPV vaccines for squamous cell carcinoma has led to early detection and treatment, effectiveness is limited for cervical adenocarcinoma. Lobular endocervical glandular hyperplasia (LEGH) corresponds to gastric metaplasia but is regarded as a pathological condition with subtle morphological abnormalities. LEGH is a benign lesion and a precursor to gastric-type adenocarcinoma. We herein developed an objective and quantitative method by applying an image analysis technique to overcome the difficulties associated with the differential diagnosis of LEGH in uterine cervical cytology. This approach is expected to enable the early detection and accurate diagnosis of LEGH. METHODS: We extracted signal values for the nucleus and cytoplasm from microscopic images of cytological specimens of normal endocervical (EC) and LEGH cells. These values were then converted into CIELAB and sRGB values to create color distribution maps, and color unmixing techniques were applied to assess the spectral absorbance of each pigment. RESULTS: The CIELAB signal values extracted from the nuclear images of LEGH cells exhibited lower values than those of EC cells. Furthermore, based on color distribution maps, the cytoplasm of EC cells exhibited shades from purple to pink, while LEGH cells showed a distribution toward yellow. CONCLUSIONS: This study reveals that, compared to EC cells, LEGH cells exhibit lower nuclear signal values and increased nuclear chromatin content. Thus, assessing the relative difference in cytoplasmic color tones between them may become an effective indicator for distinguishing between EC and LEGH cells.

    DOI： 10.1159/000543224

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  • Current Status and Prospects of Measurement and Data Analysis Using Hyperspectral Imaging Invited

    53 ( 12 )   2024.12

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  • Nondestructive Analysis of Paintings by Spectral Imaging Invited

    Saori Takeyama

    SYSTEMS, CONTROL AND INFORMATION   68 ( 9 )   376 - 377   2024.9

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    Authorship：Lead author,　Corresponding author   Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS  

    DOI： 10.11509/isciesci.68.9_376

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  • Snapshot Hyperspectral Imaging and Compressed Sensing Reconstruction Invited

    Saori Takeyama

    SYSTEMS, CONTROL AND INFORMATION   68 ( 9 )   362 - 367   2024.9

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    Authorship：Lead author,　Corresponding author   Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS  

    DOI： 10.11509/isciesci.68.9_362

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    Other Link： https://ndlsearch.ndl.go.jp/books/R000000004-I033705168

  • Transformation from hematoxylin-and-eosin staining to Ki-67 immunohistochemistry digital staining images using deep learning: experimental validation on the labeling index. Reviewed International journal

    Cunyuan Ji, Kengo Oshima, Takumi Urata, Fumikazu Kimura, Keiko Ishii, Takeshi Uehara, Kenji Suzuki, Saori Takeyama, Masahiro Yamaguchi

    Journal of medical imaging (Bellingham, Wash.)   11 ( 4 )   047501 - 047501   2024.7

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    PURPOSE: Endometrial cancer (EC) is one of the most common types of cancer affecting women. While the hematoxylin-and-eosin (H&E) staining remains the standard for histological analysis, the immunohistochemistry (IHC) method provides molecular-level visualizations. Our study proposes a digital staining method to generate the hematoxylin-3,3'-diaminobenzidine (H-DAB) IHC stain of Ki-67 for the whole slide image of the EC tumor from its H&E stain counterpart. APPROACH: We employed a color unmixing technique to yield stain density maps from the optical density (OD) of the stains and utilized the U-Net for end-to-end inference. The effectiveness of the proposed method was evaluated using the Pearson correlation between the digital and physical stain's labeling index (LI), a key metric indicating tumor proliferation. Two different cross-validation schemes were designed in our study: intraslide validation and cross-case validation (CCV). In the widely used intraslide scheme, the training and validation sets might include different regions from the same slide. The rigorous CCV validation scheme strictly prohibited any validation slide from contributing to training. RESULTS: The proposed method yielded a high-resolution digital stain with preserved histological features, indicating a reliable correlation with the physical stain in terms of the Ki-67 LI. In the intraslide scheme, using intraslide patches resulted in a biased accuracy (e.g., R = 0.98 ) significantly higher than that of CCV. The CCV scheme retained a fair correlation (e.g., R = 0.66 ) between the LIs calculated from the digital stain and its physical IHC counterpart. Inferring the OD of the IHC stain from that of the H&E stain enhanced the correlation metric, outperforming that of the baseline model using the RGB space. CONCLUSIONS: Our study revealed that molecule-level insights could be obtained from H&E images using deep learning. Furthermore, the improvement brought via OD inference indicated a possible method for creating more generalizable models for digital staining via per-stain analysis.

    DOI： 10.1117/1.JMI.11.4.047501

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  • レンズレスカメラに適した深層学習モデルの新展開 ビジョン・トランスフォーマーに基づくアプローチ Invited

    山口雅浩, PAN Xiuxi, 武山彩織

    光アライアンス   35 ( 1 )   2024

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  • 2022年日本の光学研究：トランスフォーマーに基づく画像再構成手法 Invited

    Pan Xiuxi, Chen Xiao, 武山 彩織, 山口 雅浩

    光学   52 ( 6 )   2023.6

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  • Wave-optics-based image synthesis for super resolution reconstruction of a FZA lensless camera. Reviewed International journal

    Xiao Chen, Xiuxi Pan, Tomoya Nakamura, Saori Takeyama, Takeshi Shimano, Kazuyuki Tajima, Masahiro Yamaguchi

    Optics express   31 ( 8 )   12739 - 12755   2023.4

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    A Fresnel Zone Aperture (FZA) mask for a lensless camera, an ultra-thin and functional computational imaging system, is beneficial because the FZA pattern makes it easy to model the imaging process and reconstruct captured images through a simple and fast deconvolution. However, diffraction causes a mismatch between the forward model used in the reconstruction and the actual imaging process, which affects the recovered image's resolution. This work theoretically analyzes the wave-optics imaging model of an FZA lensless camera and focuses on the zero points caused by diffraction in the frequency response. We propose a novel idea of image synthesis to compensate for the zero points through two different realizations based on the linear least-mean-square-error (LMSE) estimation. Results from computer simulation and optical experiments verify a nearly two-fold improvement in spatial resolution from the proposed methods compared with the conventional geometrical-optics-based method.

    DOI： 10.1364/OE.480552

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  • Interactive aerial-3D-touch holographic light-field display

    Masahiro Yamaguchi, Iván A. Sánchez Salazar Chavarría, Kyoka Shimomura, Saori Takeyama

    Practical Holography XXXVII: Displays, Materials, and Applications   12445   8 - 8   2023.3

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    Authorship：Last author   Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：SPIE  

    DOI： 10.1117/12.2655655

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  • Image reconstruction based on an advanced deep learning model, Vision Transformer, for a lensless camera Invited

    34 ( 4 )   2023

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  • Interactive 3D touch and gesture capable holographic light field display with automatic registration between user and content Reviewed

    Ivan Alexis Sanchez Salazar Chavarria, Kyoka Shimomura, Saori Takeyama, Masahiro Yamaguchi

    JOURNAL OF THE SOCIETY FOR INFORMATION DISPLAY   30 ( 12 )   877 - 893   2022.12

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    DOI： 10.1002/jsid.1174

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  • Design of Optically Extended Convolutional Neural Network Reviewed

    Xiuxi Pan, Xiao Chen, Saori Takeyama, Masahiro Yamaguchi

    2022 Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR)   1 - 2   2022.7

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    DOI： 10.1109/cleo-pr62338.2022.10432105

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  • Virtual Image Suppression in Aerial Display Using Volume HOE and DCRA Reviewed

    Takumi Sakamoto, Isamu Nakao, Saori Takeyama, Masahiro Yamaguchi

    2022 Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR)   1 - 2   2022.7

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    DOI： 10.1109/cleo-pr62338.2022.10432451

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  • Computational see-through screen camera based on a holographic waveguide device. Reviewed International journal

    Xiao Chen, Noriyuki Tagami, Hiroki Konno, Tomoya Nakamura, Saori Takeyama, Xiuxi Pan, Masahiro Yamaguchi

    Optics express   30 ( 14 )   25006 - 25019   2022.7

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    Language：English   Publishing type：Research paper (scientific journal)  

    This study proposes a novel computational imaging system that integrates a see-through screen (STS) with volume holographic optical elements (vHOEs) and a digital camera unit. Because of the unique features of the vHOE, the STS can function as a holographic waveguide device (HWD) and enable the camera to capture the frontal image when the user gazes at the screen. This system not only provides an innovative solution to a high-quality video communication system by realizing eye-contact but also contributes to other visual applications due to its refined structure. However, there is a dilemma in the proposed imaging system: for a wider field of view, a larger vHOE is necessary. If the size of the vHOE is larger, the light rays from the same object point are diffracted at different Bragg conditions and reflect a different number of times, which causes blurring of the captured image. The system imaging process is analyzed by ray tracing, and a digital image reconstruction method was employed to obtain a clear picture in this study. Optical experiments confirmed the effectiveness of the proposed HWD-STS camera.

    DOI： 10.1364/OE.462111

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  • Image reconstruction with transformer for mask-based lensless imaging. Reviewed International journal

    Xiuxi Pan, Xiao Chen, Saori Takeyama, Masahiro Yamaguchi

    Optics letters   47 ( 7 )   1843 - 1846   2022.4

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    A mask-based lensless camera optically encodes the scene with a thin mask and reconstructs the image afterward. The improvement of image reconstruction is one of the most important subjects in lensless imaging. Conventional model-based reconstruction approaches, which leverage knowledge of the physical system, are susceptible to imperfect system modeling. Reconstruction with a pure data-driven deep neural network (DNN) avoids this limitation, thereby having potential to provide a better reconstruction quality. However, existing pure DNN reconstruction approaches for lensless imaging do not provide a better result than model-based approaches. We reveal that the multiplexing property in lensless optics makes global features essential in understanding the optically encoded pattern. Additionally, all existing DNN reconstruction approaches apply fully convolutional networks (FCNs) which are not efficient in global feature reasoning. With this analysis, for the first time to the best of our knowledge, a fully connected neural network with a transformer for image reconstruction is proposed. The proposed architecture is better in global feature reasoning, and hence enhances the reconstruction. The superiority of the proposed architecture is verified by comparing with the model-based and FCN-based approaches in an optical experiment.

    DOI： 10.1364/OL.455378

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  • Lensless Imaging and Recognition with Transformer-based Neural Networks Reviewed

    Xiuxi Pan, Xiao Chen, Saori Takeyama, Masahiro Yamaguchi

    Information Photonics   2022.4

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  • U-Net based mitosis detection from H&E-stained images with the semi-automatic annotation using pHH3 IHC-stained images. Reviewed

    Jiaming Li, Toshiyuki Adachi, Saori Takeyama, Masahiro Yamaguchi, Yukako Yagi

    Medical Imaging 2022: Image Processing   2022.3

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    Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：SPIE  

    DOI： 10.1117/12.2612815

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    Other Link： https://dblp.uni-trier.de/db/conf/miip/miip2022.html#LiATYY22

  • Dye Amount Estimation in a Papanicolaou-stained specimen using Multispectral Imaging. Reviewed

    Saori Takeyama, Tomoaki Watanabe, Masahiro Yamaguchi, Takumi Urata, Fumikazu Kimura, Keiko Ishii

    29th Color and Imaging Conference(CIC)   29   179 - 183   2021.11

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    Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Society for Imaging Science and Technology  

    DOI： 10.2352/issn.2169-2629.2021.29.179

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    Other Link： https://dblp.uni-trier.de/db/conf/imaging/cic2021.html#TakeyamaWYUKI21

  • Zero-Gradient Constraints for Destriping of Remote-Sensing Data. Reviewed

    Kazuki Naganuma, Saori Takeyama, Shunsuke Ono

    IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP)   1480 - 1484   2021.5

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    Language：English   Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1109/ICASSP39728.2021.9415066

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    Other Link： https://dblp.uni-trier.de/db/conf/icassp/icassp2021.html#NaganumaTO21

  • Robust Acoustic Scene Classification to Multiple Devices Using Maximum Classifier Discrepancy and Knowledge Distillation. Reviewed

    Saori Takeyama, Tatsuya Komatsu, Koichi Miyazaki, Masahito Togami, Shunsuke Ono

    28th European Signal Processing Conference(EUSIPCO)   36 - 40   2021.1

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    Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

    DOI： 10.23919/Eusipco47968.2020.9287734

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    Other Link： https://dblp.uni-trier.de/db/conf/eusipco/eusipco2020.html#TakeyamaKMTO20

  • Mixed Noise Removal for Hyperspectral Images Using Hybrid Spatio-Spectral Total Variation.

    Saori Takeyama, Shunsuke Ono, Itsuo Kumazawa

    2019 IEEE International Conference on Image Processing(ICIP)   3128 - 3132   2019.9

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    Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1109/ICIP.2019.8803239

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    Other Link： https://dblp.uni-trier.de/db/conf/icip/icip2019.html#TakeyamaOK19

  • Hyperspectral and Multispectral Data Fusion by a Regularization Considering. Reviewed

    Saori Takeyama, Shunsuke Ono, Itsuo Kumazawa

    IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP)   2152 - 2156   2019.5

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    Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1109/ICASSP.2019.8683646

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    Other Link： https://dblp.uni-trier.de/db/conf/icassp/icassp2019.html#TakeyamaOK19

  • Hyperspectral Image Restoration and Pansharpening Reviewed

    Saori Takeyama, Shunsuke Ono, Itsuo Kumazawa

    Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)   2018.11

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  • Robust and Effective Hyperspectral Pansharpening Using Spatio-Spectral Total Variation. Reviewed

    Saori Takeyama, Shunsuke Ono, Itsuo Kumazawa

    2018 IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP)   1603 - 1607   2018.4

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    Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1109/ICASSP.2018.8462464

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    Other Link： https://dblp.uni-trier.de/db/conf/icassp/icassp2018.html#TakeyamaOK18

  • Image Restoration with Multiple Hard Constraints on Data-Fidelity to Blurred/Noisy Image Pair Reviewed

    Saori TAKEYAMA, Shunsuke ONO, Itsuo KUMAZAWA

    IEICE Transactions on Information and Systems   E100.D ( 9 )   1953 - 1961   2017.9

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    Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：Institute of Electronics, Information and Communications Engineers ({IEICE})  

    DOI： 10.1587/transinf.2016pcp0003

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  • Hyperspectral image restoration by Hybrid Spatio-Spectral Total Variation. Reviewed

    Saori Takeyama, Shunsuke Ono, Itsuo Kumazawa

    2017 IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP)   4586 - 4590   2017.5

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    Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1109/ICASSP.2017.7953025

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    CiNii Research

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    Other Link： https://dblp.uni-trier.de/db/conf/icassp/icassp2017.html#TakeyamaOK17

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MISC

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Presentations

  • HYPERSPECTRALIZATION: HYPERSPECTRAL IMAGE RECONSTRUCTION FROM A PATCH-SAMPLED OBSERVATION

    Saori Takeyama, Shunsuke Ono

    IEEE International Geoscience and Remote Sensing Symposium  2025.8 

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    Event date： 2025.8

    Language：English  

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  • COMPRESSED HYPERSPECTRAL PANSHARPENING

    Saori Takeyama, Shunsuke Ono

    2020 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)  2020.10 

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    Event date： 2020.10

    Language：English  

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  • JOINT MIXED-NOISE REMOVAL AND COMPRESSED SENSING RECONSTRUCTION OF HYPERSPECTRAL IMAGES VIA CONVEX OPTIMIZATION

    Saori Takeyama, Shunsuke Ono

    2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM  2020.9 

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    Event date： 2020.9

    Language：English   Presentation type：Oral presentation (general)  

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  • Hyperspectral Pansharpening Using Noisy Panchromatic Image Invited

    Saori Takeyama, Shunsuke Ono, Itsuo Kumazawa

    2018 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC)  2018.11 

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    Event date： 2018.11

    Language：English   Presentation type：Oral presentation (invited, special)  

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  • HYPERSPECTRAL IMAGE RESTORATION BY HYBRID SPATIO-SPECTRAL TOTAL VARIATION

    Saori Takeyama, Shunsuke Ono, Itsuo Kumazawa

    2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)  2017.3 

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    Event date： 2017.3

    Language：English   Presentation type：Poster presentation  

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  • HE 染色核画像による子宮体部類内膜癌の DNA 複製関連タンパク発現予測―多タスク深層学習の検証

    浦田 巧, 木村 文一, 武山 彩織, 石井 恵子, 山口 雅浩

    第44回日本医用画像工学会大会  2025.8 

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    Event date： 2025.8

    Language：Japanese  

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  • 開口サイズとピクセルピッチが不一致な符号化開口スナップショットハイパースペクトルイメージングに対する画像再構成

    渡辺 優貴, 武山 彩織, 山口 雅浩

    情報フォトニクス研究討論会2025  2025.8 

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    Event date： 2025.8

    Language：Japanese   Presentation type：Poster presentation  

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  • Multiple Instance Learning を用いた IgA 腎症病理画像の重症度分類と識別要因解析

    高木 弦, 武山 彩織, 阿部 時也, 橋口 明典, 山口 雅浩

    第44回日本医用画像工学会大会  2025.8 

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    Event date： 2025.8

    Language：Japanese  

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  • 指輪型カメラを用いた3Dインタフェースにおける深層学習モデルの検討

    市川 真嵩, 武山 彩織, 山口 雅浩

    空間メディアコンファレンス2025  2025.7 

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    Event date： 2025.7

    Language：Japanese   Presentation type：Oral presentation (general)  

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  • Robust Papanicolaou Stain Quantification Insensitive to Imaging System Variations by Sparsity-based Stain Unmixing

    Nanxin Gong, Saori Takeyama, Masahiro Yamaguchi, Takumi Urata, Fumikazu Kimura, Keiko Ishii

    The Annual International Conference of the IEEE Engineering in Medicine Biology Society  2025.7 

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    Event date： 2025.7

    Language：English  

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  • 波長依存のボケを考慮した顕微鏡ハイパースペクトル画像の高解像度化に関する検討

    武山 彩織, 月岡 優希, 石川 雅浩, 橋口 明典, 山口 雅浩

    電子情報通信学会 画像工学研究会  2025.6 

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    Event date： 2025.6

    Language：Japanese   Presentation type：Oral presentation (general)  

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  • 符号化開口スナップショットハイパースペクトルイメージングにおける開口サイズ-ピクセルピッチ間のギャップ条件下でのHybrid Spatio-Spectral TV正則化を用いた再構成

    渡辺 優貴, 武山 彩織, 山口 雅浩

    電子情報通信学会 画像工学研究会  2025.6 

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    Event date： 2025.6

    Language：Japanese   Presentation type：Oral presentation (general)  

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  • 光線-波面変換に基づく広視野CGH計算における光線方向数の影響

    工藤 綾, 東田 諒, 武山 彩織, 山口 雅浩

    第72回応用物理学会春季学術講演会  2025.5 

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    Event date： 2025.5

    Language：Japanese   Presentation type：Oral presentation (general)  

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  • 正射影光線-波面変換に基づく広視野 CGH 計算におけるアーティファクト除去の検討

    工藤 綾, 東田 諒, 武山 彩織, 山口 雅浩

    関東学生研究論文講演会  2025.3 

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    Event date： 2025.3

    Language：Japanese   Presentation type：Poster presentation  

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  • Estimation of Shift-Variant System Matrix Utilizing Sparsity and its Application to a Holographic See-through Screen Camera

    2025.3 

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    Event date： 2025.3

    Language：Japanese   Presentation type：Oral presentation (general)  

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  • ORS面を用いた広視野CGH計算におけるアーティファクト除去の検討

    工藤 綾, 東田 諒, 武山 彩織, 山口 雅浩

    HODIC 学生シンポジウム  2025.3 

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    Event date： 2025.3

    Language：Japanese  

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  • Dual-Branch Deep Learning-Based Classification of Fluorescence Images from “click-to-sense” assay for Intraoperative Diagnosis

    Wenlin Li, Saori Takeyama, Tomonori Tanei, Koji Morimoto, Ambara R. Pradipta, Katsunori Tanaka, Masahiro Yamaguchi

    International Forum on Medical Imaging in Asia 2025  2025.3 

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    Event date： 2025.3

    Language：English  

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  • Hybrid Spatio-Spectral TV 正則化を用いた符号化開口スナップショットスペクトルイメージングに関する基礎検討

    渡辺 優貴, 武山 彩織, 山口 雅浩

    関東学生研究論文講演会  2025.3 

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    Event date： 2025.3

    Language：Japanese   Presentation type：Oral presentation (general)  

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  • ハイパースペクトルイメージングのための圧縮センシング再構成 Invited

    武山彩織

    レーザー学会学術講演会 第45回年次大会  2025.1 

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    Event date： 2025.1

    Language：Japanese   Presentation type：Oral presentation (general)  

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  • Hyperspectralizationのためのパッチ選択手法の検討

    武山彩織

    第39回信号処理シンポジウム  2024.12 

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    Event date： 2024.12

    Language：Japanese   Presentation type：Poster presentation  

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  • Estimation of Shift-Variant System Functions Based on Compressed Sensing

    2024.12 

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    Event date： 2024.11 - 2024.12

    Language：Japanese   Presentation type：Oral presentation (general)  

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  • Intuitive interface with no restrictions on operation position using ring-shaped camera

    2024.11 

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    Event date： 2024.11 - 2024.12

    Language：Japanese   Presentation type：Oral presentation (general)  

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  • Automatic ROI selection for unmixing-based color correction of H&E-stained whole slide images

    Yang Yinan, Saori Takeyama, Masahiro Yamaguchi

    Optics & Photonics Japan  2024.11 

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    Event date： 2024.11

    Presentation type：Oral presentation (general)  

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  • Angular-multiplexed animated computer-generated hologram in hardcopy - Optical reconstruction -

    項福林, 東田諒, 武山彩織, 山口雅浩

    第3回 ホログラフィック・ディスプレイ研究会  2024.9 

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    Event date： 2024.9

    Language：English   Presentation type：Oral presentation (general)  

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  • 3D Image Display Using a 2D Holographic Projector and Holographic Optical Elements

    2024.9 

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    Language：Japanese  

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  • Predicting the Ki-67 labeling index of endometrioid cancer from the hematoxylin-and-eosin-stained whole slide image

    Cunyuan Ji, Kengo Oshima, Takumi Urata, Fumikazu Kimura, Keiko Ishii, Takeshi Uehara, Kenji Suzuki, Saori Takeyama, Masahiro Yamaguchi

    第22回日本デジタルパソロジー・AI研究会 定時総会  2024.8 

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    Event date： 2024.8

    Presentation type：Poster presentation  

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  • 肝細胞癌の病理画像における深層学習モデルの判別根拠の提示手法

    高木 弦, 武山 彩織, 阿部 時也, 橋口 明典, 坂元 亨宇, 山口 雅浩

    第22回日本デジタルパソロジー・AI研究会 定時総会  2024.8 

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    Event date： 2024.8

    Language：Japanese   Presentation type：Poster presentation  

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  • Stain Unmixing for Papanicolaou RGB Image Using Sparsity and Total Variation Regularization

    Nanxin Gong, Saori Takeyama, Fumikazu Kimura, Masahiro Yamaguchi

    情報フォトニクス研究討論会2024  2024.7 

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    Event date： 2024.7

    Language：Japanese   Presentation type：Poster presentation  

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  • 2Dホログラフィックプロジェクタとホログラム光学素子を用いたライトフィールドディスプレイ

    沼尻 晴貴, 武山 彩織, 山口 雅浩

    第18回関東学生研究論文講演会  2024.3 

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    Event date： 2024.3

    Language：Japanese   Presentation type：Oral presentation (general)  

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  • 3D scene reconstruction using a lensless camera using machine learning

    2024.3 

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    Event date： 2024.3

    Language：Japanese   Presentation type：Oral presentation (general)  

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  • 正射影光線波面変換法による動画ホログラムの圧縮型計算量削減

    坂本匠, 武山彩織, 山口雅浩

    電子情報通信学会総合大会  2024.3 

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    Event date： 2024.3

    Language：Japanese   Presentation type：Oral presentation (general)  

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  • Color management for Holographic light field display to show natural hybrid 2D/3D image

    2024.3 

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    Language：Japanese   Presentation type：Oral presentation (general)  

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  • ハードコピーとして記録された角度多重アニメーション CGH における二値化によるアーティファクト低減

    項 福林, 坂本 匠, 武山 彩織, 山口 雅浩

    HODIC 学生シンポジウム  2024.2 

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    Event date： 2024.2

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  • LED照明を用いたCGH再生像のホログラム光学素子による波長分散補正

    坂本 匠, 武山 彩織, 山口 雅浩

    レーザー学会学術講演会 第44回年次大会  2024.1 

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    Event date： 2024.1

    Language：Japanese   Presentation type：Poster presentation  

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  • 体積型ホログラム光学素子を用いた透明スクリーンカメラにおけるフルカラー画像の再構成

    小原 一真, 武山 彩織, 山口 雅浩

    映像情報メディア学会 立体メディア技術研究会  2023.11 

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    Event date： 2023.11

    Language：Japanese   Presentation type：Oral presentation (general)  

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  • Hyperspectralization：スペクトルパッチサンプルからのハイパースペクトルデータ再構成

    武山 彩織, 小野 峻佑

    電子情報通信学会第37回信号処理シンポジウム  2023.11 

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    Event date： 2023.11

    Language：Japanese   Presentation type：Poster presentation  

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  • Papanicolaou stain unmixing for RGB image using sparsity and total variation regularized optimization

    GONG Nanxin, 武山 彩織, 木村 文一, 山口 雅浩

    Optics & Photonics Japan  2023.11 

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    Event date： 2023.11

    Language：English  

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  • 深層学習に基づくレンズレスカメラの画像再構成における外部制御コード入力によるリフォーカス

    Xiao Chen, Xiuxi Pan, 長田 凌, Cunyuan Ji, 武山 彩織, 山口 雅浩

    Optics & Photonics Japan  2023.11 

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    Event date： 2023.11

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  • A method for interpreting image features that contribute to discrimination in deep learning-based pathology image analysis

    2023.9 

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    Event date： 2023.9

    Language：Japanese   Presentation type：Oral presentation (general)  

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  • An Animated Computer Generated Hologram in Hardcopy based on Ray-Wavefront Conversion

    Fulin Xiang, Hashimoto Kazuya, Higashida Ryo, Sakamoto Takumi, Takeyama Saori, Yamaguchi Masahiro

    Proceedings of 3D Image Conference  2023.7  3D Image Conference

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    Event date： 2023.7

    Language：English  

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  • 深層学習を用いた病理画像からの肝細胞癌判別における説明可能性

    高木 弦, 武山 彩織, 阿部 時也, 橋口 明典, 坂元 亨宇, 山口 雅浩

    情報フォトニクス研究討論会2023  2023.7 

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    Event date： 2023.7

    Language：Japanese   Presentation type：Poster presentation  

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  • 高解像度H&E染色全スライド画像におけるカラーアンミキシングのための自動ROI選択

    ヨウ キナン, 武山 彩織, 山口 雅浩

    第42回日本医用画像工学会大会  2023.7 

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    Event date： 2023.7

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  • Interactive aerial-3D-touch holographic light-field display

    Masahiro Yamaguchi, Iván A. Sánchez, Salazar Chavarría, Kyoka Shimomura, Saori Takeyama

    SPIE Optoelectronics Conference  2023.3 

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    Event date： 2023.3

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  • 体積型HOEを用いた透明スクリーンカメラによるフルカラーおよび赤外線画像の取得と再構成

    小原 一真, 武山 彩織, 山口 雅浩

    関東学生研究論文講演会  2023.3 

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    Event date： 2023.3

    Language：Japanese   Presentation type：Oral presentation (general)  

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  • A method for calculating CGH animation in hard copy based on ray-wavefront conversion

    橋本和也, 東田諒, XIANG Fulin, 武山彩織, 山口雅浩

    映像情報メディア学会技術報告  2023.3 

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    Event date： 2023.3

    Language：Japanese   Presentation type：Oral presentation (general)  

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  • 曲面スクリーンを用いたホログラフィック・ライトフィールドディスプレイの視域拡大に関する検討

    Du Linyao, 武山 彩織, 山口 雅浩

    HODIC 学生シンポジウム  2023.2 

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    Event date： 2023.2

    Language：Japanese   Presentation type：Oral presentation (general)  

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  • Image reconstruction by warping shift-invariant systems in a holographic transparent screen camera

    2023.2 

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    Language：Japanese   Presentation type：Oral presentation (general)  

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  • 高度な計算アルゴリズムとの融合が可能にする新しい光画像センシング技術 Invited

    山口 雅浩, Pan Xiuxi, Chen Xiao, 高橋 京司, 武山 彩織

    レーザー学会学術講演会 第43回年次大会  2023.1 

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    Language：Japanese   Presentation type：Oral presentation (invited, special)  

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  • Reconstruction of full-color images acquired with see-through screen camera using volume holographic optical element

    小原一真, 武山彩織, 山口雅浩

    電気学会研究会資料(Web)  2023 

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  • ガウシアン-スパース混合ノイズを考慮したハイパースペクトルパンシャープニング

    武山 彩織, 小野 峻佑

    電子情報通信学会第36回信号処理シンポジウム  2022.12 

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    Event date： 2022.12

    Language：Japanese   Presentation type：Poster presentation  

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  • A wave-optics based superresolution method in FZA lensless camera by image synthesis from different mask patterns

    Xiao Chen, Xiuxi Pan, Tomoya Nakamura, Saori Takeyama, Masahiro Yamaguchi

    Optics Photonics Japan  2022.11 

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    Event date： 2022.11

    Language：English   Presentation type：Oral presentation (general)  

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  • A see-through screen camera based on a holographic waveguide device and computational imaging

    2022.11 

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  • See-through screen camera with full color volume HOE

    2022.9 

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    Event date： 2022.9

    Language：Japanese   Presentation type：Oral presentation (general)  

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  • Basic investigation of a hybrid 2D/3D system using a holographic light field display

    2022.9 

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    Language：Japanese   Presentation type：Oral presentation (general)  

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  • Evaluation of the effectiveness of registration between the user's hand and reconstructed image in a holographic 3D-touch light field display

    Alexis Sanchez, Saori Takeyama, Masahiro Yamaguchi

    HODIC  2022.9 

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    Event date： 2022.9

    Language：English   Presentation type：Oral presentation (general)  

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    Other Link： https://ndlsearch.ndl.go.jp/books/R000000004-I032440377

  • 深層学習を用いた画像解析におけるクラスタリングに基づく説明可能性の検討 −肝細胞癌の⼿術材料及び⽣検による病理組織標本の解析への適用−

    高木 弦, 武山 彩織, 山口 雅浩, 阿部 時也, 橋口 明典, 坂元 亨宇

    日本デジタルパソロジー・ AI研究会総会  2022.8 

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    Event date： 2022.8

    Language：Japanese  

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  • Design of Optically Extended Convolutional Neural Network

    Xiuxi Pan, Xiao Chen, Saori Takeyama, Masahiro Yamaguchi

    2022 Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR)  2022.7  IEEE

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    Event date： 2022.7

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  • Virtual Image Suppression in Aerial Display Using Volume HOE and DCRA

    Takumi Sakamoto, Isamu Nakao, Saori Takeyama, Masahiro Yamaguchi

    2022 Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR)  2022.7  IEEE

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    Event date： 2022.7

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  • 空間-波長正則化を用いたハイパースペクトル画像復元

    武山彩織, 山口雅浩

    新画像システム・情報フォトニクス研究討論会  2022.6 

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    Event date： 2022.6

    Language：Japanese   Presentation type：Poster presentation  

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  • Lensless Imaging and Recognition with Transformer-based Neural Networks

    Xiuxi Pan, Xiao Chen, Saori Takeyama, Masahiro Yamaguchi

    Information Photonics  2022.4 

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    Event date： 2022.4

    Language：English  

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  • DCRAにおける体積型HOEを用いた虚像抑制の検証

    坂本 匠, 中尾 勇, 武山彩織, 山口雅浩

    関東学生研究論文講演会  2022.3 

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    Event date： 2022.3

    Language：Japanese   Presentation type：Poster presentation  

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  • ベルリンブルー染色標本を学習に利用したアスベスト小体の自動検出

    ZHANG Haoda, 武山彩織, 木村文一, 山口雅浩

    電子情報通信学会 総合大会  2022.3 

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    Event date： 2022.3

    Language：Japanese   Presentation type：Oral presentation (general)  

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  • U-Net based mitosis detection from H&E-stained images with the semi-automatic annotation using pHH3 IHC-stained images

    Jiaming Li, Toshiyuki Adachi, Saori Takeyama, Masahiro Yamaguchi, Yukako Yagi

    MEDICAL IMAGING 2022: IMAGE PROCESSING  2022.3 

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    Event date： 2022.3

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  • ホログラフィック・ライトフィールドディスプレイと2Dディスプレイの融合

    下村 杏華, Alexis Sanchez, 武山彩織, 山口雅浩

    関東学生研究論文講演会  2022.3 

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    Event date： 2022.3

    Language：Japanese   Presentation type：Poster presentation  

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  • A transparent camera overlaying a display surface using holographic waveguide device

    2021.11 

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    Event date： 2021.11

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  • 空間-波長正則化に基づくハイパースペクトル画像のポアソン性ノイズ除去

    武山 彩織, 小野 峻佑

    電子情報通信学会第36回信号処理シンポジウム  2021.11 

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    Event date： 2021.11

    Language：Japanese   Presentation type：Poster presentation  

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  • Dye Amount Estimation in a Papanicolaou-stained specimen using Multispectral Imaging

    Saori Takeyama, Tomoaki Watanabe, Masahiro Yamaguchi, Takumi Urata, Fumikazu Kimura, Keiko Ishii

    Color and Imaging Conference  2021.11 

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    Event date： 2021.11

    Language：English   Presentation type：Poster presentation  

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  • Removal of disturbing virtual images in the DCRA-based aerial display using volume HOEs

    2021.10 

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    Event date： 2021.10

    Language：Japanese  

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  • マスクを用いたレンズレス光学系のためのTransformerニューラルネットワークによる非干渉かつ再構成不要な物体認識

    Xiuxi Pan, Xiao Chen, Tomoya Nakamura, Saori Takeyama, Masahiro Yamaguchi

    Optics & Photonics Japan 2021  2021.10 

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    Event date： 2021.10

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  • A method for improving image quality by pix2pix in frontal imaging systems using HOE

    2021.10 

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    Event date： 2021.10

    Language：Japanese  

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  • マルチスペクトル撮影を用いたパパニコロウ染色標本の色素量画像計測

    山口 雅浩, 武山 彩織, 渡辺 茂暁, 木村 文一, 浦田 巧, 石井 恵子

    第35回関東臨床細胞学会学術集会, 第35回関東臨床細胞学会学術集会  2021.9 

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    Event date： 2021.9

    Language：Japanese  

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  • Hyperspectral image restoration based on convex optimization Invited

    2021.8 

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    Event date： 2021.8

    Language：Japanese   Presentation type：Oral presentation (general)  

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  • ZERO-GRADIENT CONSTRAINTS FOR DESTRIPING OF REMOTE-SENSING DATA

    Kazuki Naganuma, Saori Takeyama, Shunsuke Ono

    2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021)  2021.5 

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    Event date： 2021.5

    Language：English  

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  • Remote Sensing Data Restoration by Constraining the Gradients of Stripe Noise

    長沼 一輝, 武山 彩織, 小野 峻佑

    電子情報通信学会 信号処理研究会  2021.3 

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    Event date： 2021.3

    Language：Japanese  

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  • Robust Acoustic Scene Classification to Multiple Devices Using Maximum Classifier Discrepancy and Knowledge Distillation

    Saori Takeyama, Tatsuya Komatsu, Koichi Miyazaki, Masahito Togami, Shunsuke Ono

    28TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2020)  2021.1 

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    Event date： 2021.1

    Language：English   Presentation type：Poster presentation  

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  • COMPRESSED SENSING RECONSTRUCTION OF HYPERSPECTRAL IMAGES UNDER MIXED NOISE CONTAMINATION

    2020.3 

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    Event date： 2020.3

    Language：Japanese   Presentation type：Oral presentation (general)  

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  • 空間-波長正則化を用いた圧縮pansharpening

    武山彩織, 小野峻佑

    電子情報通信学会第34回信号処理シンポジウム  2019.11 

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    Event date： 2019.11

    Language：Japanese   Presentation type：Poster presentation  

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  • MIXED NOISE REMOVAL FOR HYPERSPECTRAL IMAGES USING HYBRID SPATIO-SPECTRAL TOTAL VARIATION

    Saori Takeyama, Shunsuke Ono, Itsuo Kumazawa

    2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)  2019.7 

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    Event date： 2019.7

    Language：English   Presentation type：Oral presentation (general)  

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  • HYPERSPECTRAL AND MULTISPECTRAL DATA FUSION BY A REGULARIZATION CONSIDERING

    Saori Takeyama, Shunsuke Ono, Itsuo Kumazawa

    2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)  2019.5 

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    Event date： 2019.5

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  • ハイパースペクトルイメージングのための圧縮pansharpeningの検討

    武山彩織, 小野峻佑, 熊澤逸夫

    電子情報通信学会 信号処理研究会  2019.3 

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    Event date： 2019.3

    Language：Japanese   Presentation type：Oral presentation (general)  

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  • ガウシアンノイズを考慮したハイパースペクトル画像とマルチスペクトル画像の合成法

    武山彩織, 小野峻佑, 熊澤逸夫

    電子情報通信学会第33回信号処理シンポジウム  2018.11 

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    Event date： 2018.11

    Language：Japanese   Presentation type：Oral presentation (general)  

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  • Hyperspectral Image Restoration and Pansharpening

    Saori Takeyama, Shunsuke Ono, Itsuo Kumazawa

    Asia-Pacific Signal and Information Processing Association Annual Summit and Conference  2018.11 

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    Event date： 2018.11

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  • ハイパースペクトル画像の混合ノイズ除去におけるパラメータ設定に関する検討

    武山彩織, 小野峻佑, 熊澤逸夫

    電子情報通信学会ソサイエティ大会  2018.9 

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    Event date： 2018.9

    Language：Japanese   Presentation type：Oral presentation (general)  

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  • ROBUST AND EFFECTIVE HYPERSPECTRAL PANSHARPENING USING SPATIO-SPECTRAL TOTAL VARIATION

    Saori Takeyama, Shunsuke Ono, Itsuo Kumazawa

    2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)  2018.4 

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    Event date： 2018.4

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  • パンクロマティック画像に含まれるガウシアンノイズを考慮したhyperspectral pansharpeningに関する手法

    武山彩織, 小野峻佑, 熊澤逸夫

    電子情報通信学会 信号処理研究会  2018.3 

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    Event date： 2018.3

    Language：Japanese   Presentation type：Oral presentation (general)  

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  • 空間-波長方向の正則化を用いたノイズにロバストなHyperspectral Pansharpning

    武山彩織, 小野峻佑, 熊澤逸夫

    電子情報通信学会 第32回信号処理シンポジウム  2017.11 

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    Event date： 2017.11

    Language：Japanese   Presentation type：Oral presentation (general)  

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  • Mixed noise removal of hyperspectral images by hybrid spatio-spectral total variation reguralization

    2017.2 

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  • A Hybrid Spatio-Spectral Total Variation Regularization Approach to Hyperspectral Image Restration

    武山 彩織, 小野 峻佑, 熊澤 逸夫

    電子情報通信学会 第31回信号処理シンポジウム  2016.11 

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    Event date： 2016.11

    Language：Japanese   Presentation type：Oral presentation (general)  

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  • Hybrid Spatio-Spectral Total Variation最小化によるハイパースペクトル画像のノイズ除去

    武山彩織, 小野峻佑, 熊澤逸夫

    画像符号化シンポジウム・映像メディア処理シンポジウム  2016.11 

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    Event date： 2016.11

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  • A constrained optimization approach to image restoration using blurred/noisy image pair

    2016.8 

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    Event date： 2016.8

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Awards

  • 令和7年度 IE賞

    2025.6   電子情報通信学会 画像工学研究会  

    武山彩織, 月岡優希,石川雅浩,橋口明典,山口雅浩

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  • テレコムシステム技術学生賞

    2022.3   公益財団法人電気通信普及財団  

    武山彩織

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  • 13th IEEE Signal Processing Society Japan Student Conference Paper Award

    2020.1   IEEE Signal Processing Society Tokyo Joint Chapter  

    Saori Takeyama

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  • 平成30年度信号処理若手奨励賞

    2019.3   電子情報通信学会 信号処理研究会  

    武山彩織

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  • 平成30年度信号処理研究会賞

    2019.3   電子情報通信学会 信号処理研究会  

    武山彩織,小野峻佑,熊澤逸夫

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  • 平成28年度 IE賞

    2016.7   電子情報通信学会 画像工学研究会  

    武山彩織, 小野峻佑, 熊沢逸夫

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Research Projects

  • パッチサンプルハイパースペクトルイメージングのための高解像度ハイパースペクトル画像推定

    2024.4 - 2025.3

    マイクロン財団  工学院女性教員研究助成 

    武山彩織

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    Authorship：Principal investigator 

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  • 色素量マップ推定のための正則化関数設計に関する検討

    2023.6 - 2025.3

    みずほ学術振興財団  工学研究助成 

    武山彩織

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  • 汎用的ハイパースペクトルイメージングの検討

    Grant number：23K16898  2023.4 - 2026.3

    日本学術振興会  科学研究費助成事業  若手研究

    武山 彩織

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    Authorship：Principal investigator 

    Grant amount：\4290000 （ Direct Cost: \3300000 、 Indirect Cost：\990000 ）

    ハイパースペクトルイメージングが抱える空間解像度の課題を計測の際に解決するため，新しい計測手法の検討を中心に行なった.まず,現状の課題解決のためのアプローチを調査し，考慮されていないが実際検討が必要な残された課題の洗い出しにより，サンプリング距離より小さな対象物の情報欠落が確認された．これを解決するため，撮影対象全体の情報を低空間解像度で撮影するのではなく，部分的に高空間・波長解像度の情報を取得し，補助画像を用いることで全体の情報を再構成する新しい計測アプローチに至り，計測原理の構築と再構成手法の提案を行っている．

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  • Integration of graph signal processing and hyperspectral image processing

    Grant number：21K21312  2021.8 - 2023.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Research Activity Start-up

    Takeyama Saori

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    Grant amount：\3120000 （ Direct Cost: \2400000 、 Indirect Cost：\720000 ）

    To adopt graph signal processing into hyperspectral (HS) imaging, we deeply analyzed the prior knowledge on HS images. Thanks to effective evaluation of spatial architecture, our proposed method can estimate an HS image with high spatial and spectral resolution. From the results, we can see the spatial architecture helps to improve the performance for HS image restoration, so we tried to construct the methodology of spatial architecture into the graph representation for HS image restoration.
    Then, we proposed a new hyperspectral imaging framework near by real imaging systems. As a result, we showed the problem can be resolved by the suitable evaluation of apriori knowledge on HS images.

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  • Mixed Noise Removal for Hyperspectral Images Using Hybrid Spatio-Spectral Total Variation

    2019.9

    電気通信普及財団  海外渡航旅費援助 

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  • 構造＋詳細分解モデルに基づく超高精細ハイパースペクトルイメージング

    Grant number：18J20290  2018.4 - 2021.3

    日本学術振興会  科学研究費助成事業  特別研究員奨励費

    武山 彩織

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    Grant amount：\2200000 （ Direct Cost: \2200000 ）

    本年度は，ハイパースペクトル画像の波長情報の構造を考慮したハイパースペクトル画像復元手法に関する研究を行った．具体的には，ハイパースペクトル画像の先験的情報である空間・波長方向の区分的なめらかさと波長方向の低ランク性を評価する二種類の正則化関数を同時に利用した復元手法の提案を行った．これによって，これまで行ってきた区分的滑らかさのみを用いた手法よりも多くの構造的特徴を利用することができるため，より高精細な復元を達成できる．また，昨年度まで行ってきた研究の精査を行い，その結果をまとめたものを学術論文に掲載した．

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