Approximate-DCT-Derived Measurement Matrices for Compressed Sensing

被引:0
|
作者
Zhou, Jianbin [1 ]
Zhou, Dajiang
Takeshi, Yoshimura [1 ]
Goto, Satoshi [1 ]
机构
[1] Waseda Univ, Grad Sch Informat Prod & Syst, Kitakyushu, Fukuoka 8080135, Japan
来源
2017 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS) | 2017年
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IMAGE;
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中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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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页数:4
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