Approximate-DCT-derived measurement matrices for compressed sensing

Jianbin Zhou; Dajiang Zhou; Takeshi Yoshimura; Satoshi Goto

doi:10.1109/ISCAS.2017.8050536

Approximate-DCT-derived measurement matrices for compressed sensing

Jianbin Zhou, Dajiang Zhou, Takeshi Yoshimura, Satoshi Goto

Graduate School of Information, Production and Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

The paper presents an algorithm to generate a series of deterministic ternary matrices, which are compatible with the new generation of CMOS image sensor (CIS), Compressed Sensing (CS) based CIS (CS-CIS). The proposed matrices are derived from the approximate DCT, hence preserving the energy compaction property as DCT does. With the proposed 2D-zigzag trimming, the limited measurements could compact most of the energy. The experiment result shows that our proposed matrix contributes a significant improvement in image quality and bitrate saving of 5.7 dB BD-PSNR increase on average comparing with the random binary matrix used in the-state-of-art CS-CIS.

Original language	English
Title of host publication	IEEE International Symposium on Circuits and Systems
Subtitle of host publication	From Dreams to Innovation, ISCAS 2017 - Conference Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467368520
DOIs	https://doi.org/10.1109/ISCAS.2017.8050536
Publication status	Published - 2017 Sept 25
Event	50th IEEE International Symposium on Circuits and Systems, ISCAS 2017 - Baltimore, United States Duration: 2017 May 28 → 2017 May 31

Other

Other	50th IEEE International Symposium on Circuits and Systems, ISCAS 2017
Country/Territory	United States
City	Baltimore
Period	17/5/28 → 17/5/31

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/ISCAS.2017.8050536

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Approximate-DCT-derived measurement matrices for compressed sensing. / Zhou, Jianbin; Zhou, Dajiang; Yoshimura, Takeshi et al.

IEEE International Symposium on Circuits and Systems: From Dreams to Innovation, ISCAS 2017 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. 8050536.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zhou, J, Zhou, D, Yoshimura, T & Goto, S 2017, Approximate-DCT-derived measurement matrices for compressed sensing. in IEEE International Symposium on Circuits and Systems: From Dreams to Innovation, ISCAS 2017 - Conference Proceedings., 8050536, Institute of Electrical and Electronics Engineers Inc., 50th IEEE International Symposium on Circuits and Systems, ISCAS 2017, Baltimore, United States, 17/5/28. https://doi.org/10.1109/ISCAS.2017.8050536

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abstract = "The paper presents an algorithm to generate a series of deterministic ternary matrices, which are compatible with the new generation of CMOS image sensor (CIS), Compressed Sensing (CS) based CIS (CS-CIS). The proposed matrices are derived from the approximate DCT, hence preserving the energy compaction property as DCT does. With the proposed 2D-zigzag trimming, the limited measurements could compact most of the energy. The experiment result shows that our proposed matrix contributes a significant improvement in image quality and bitrate saving of 5.7 dB BD-PSNR increase on average comparing with the random binary matrix used in the-state-of-art CS-CIS.",

author = "Jianbin Zhou and Dajiang Zhou and Takeshi Yoshimura and Satoshi Goto",

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language = "English",

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N2 - The paper presents an algorithm to generate a series of deterministic ternary matrices, which are compatible with the new generation of CMOS image sensor (CIS), Compressed Sensing (CS) based CIS (CS-CIS). The proposed matrices are derived from the approximate DCT, hence preserving the energy compaction property as DCT does. With the proposed 2D-zigzag trimming, the limited measurements could compact most of the energy. The experiment result shows that our proposed matrix contributes a significant improvement in image quality and bitrate saving of 5.7 dB BD-PSNR increase on average comparing with the random binary matrix used in the-state-of-art CS-CIS.

AB - The paper presents an algorithm to generate a series of deterministic ternary matrices, which are compatible with the new generation of CMOS image sensor (CIS), Compressed Sensing (CS) based CIS (CS-CIS). The proposed matrices are derived from the approximate DCT, hence preserving the energy compaction property as DCT does. With the proposed 2D-zigzag trimming, the limited measurements could compact most of the energy. The experiment result shows that our proposed matrix contributes a significant improvement in image quality and bitrate saving of 5.7 dB BD-PSNR increase on average comparing with the random binary matrix used in the-state-of-art CS-CIS.

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Approximate-DCT-derived measurement matrices for compressed sensing

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