Presentation 2023-05-19
Assessment of sensor characteristics on compressive spectral imaging with Spectrally-varying PSFs
Ryo Shirakawa, Yoko Sogabe, Ayumi Matsumoto, Masaki Kitahara,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Compressed spectral imaging with Spectrally-varying PSFs is a technique acquiring 3D spectral data cube based on compressed sensing theory, which compresses and acquires spectral data cube on a 2D image sensor using a meta-lens with a PSF that depends on the spectrum. The con?guration of this technique is simply to replace the lens of an ordinary digital camera with a meta-lens, so it can be easily implemented in various types of cameras. Recently, monochrome sensors with extremely broadband sensitivity have been developed, and it is expected that a wider range of spectral images can be acquired by using such sensors. On the other hand, this technique has so far been evaluated only for color sensors, and its in?uence on monochrome sensors is not clear. Therefore, this paper quantitatively compares the di?erences in performance of this technique when implemented with a color sensor and a monochrome sensor through simulation experiments.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Hyperspectral Imaging / Compressed Sensing
Paper # PRMU2023-14
Date of Issue 2023-05-11 (PRMU)

Conference Information
Committee PRMU / IPSJ-CVIM
Conference Date 2023/5/18(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Seiichi Uchida(Kyushu Univ.)
Vice Chair Takuya Funatomi(NAIST) / Mitsuru Anpai(Denso IT Lab.)
Secretary Takuya Funatomi(CyberAgent) / Mitsuru Anpai(Univ. of Tokyo)
Assistant Nakamasa Inoue(Tokyo Inst. of Tech.) / Yasutomo Kawanishi(Riken)

Paper Information
Registration To Technical Committee on Pattern Recognition and Media Understanding / Special Interest Group on Computer Vision and Image Media
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Assessment of sensor characteristics on compressive spectral imaging with Spectrally-varying PSFs
Sub Title (in English)
Keyword(1) Hyperspectral Imaging
Keyword(2) Compressed Sensing
1st Author's Name Ryo Shirakawa
1st Author's Affiliation NTT Computer and Data Science Laboratories(NTT)
2nd Author's Name Yoko Sogabe
2nd Author's Affiliation NTT Computer and Data Science Laboratories(NTT)
3rd Author's Name Ayumi Matsumoto
3rd Author's Affiliation NTT Computer and Data Science Laboratories(NTT)
4th Author's Name Masaki Kitahara
4th Author's Affiliation NTT Computer and Data Science Laboratories(NTT)
Date 2023-05-19
Paper # PRMU2023-14
Volume (vol) vol.123
Number (no) PRMU-30
Page pp.pp.74-79(PRMU),
#Pages 6
Date of Issue 2023-05-11 (PRMU)