Approximate-DCT-derived measurement matrices for compressed sensing

Jianbin Zhou, Dajiang Zhou, Takeshi Yoshimura, Satoshi Goto

研究成果: Conference contribution

1 被引用数 (Scopus)


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.

ホスト出版物のタイトルIEEE International Symposium on Circuits and Systems
ホスト出版物のサブタイトルFrom Dreams to Innovation, ISCAS 2017 - Conference Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
出版ステータスPublished - 2017 9月 25
イベント50th IEEE International Symposium on Circuits and Systems, ISCAS 2017 - Baltimore, United States
継続期間: 2017 5月 282017 5月 31


Other50th IEEE International Symposium on Circuits and Systems, ISCAS 2017
国/地域United States

ASJC Scopus subject areas

  • 電子工学および電気工学


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