Rate–distortion analysis of structured sensing matrices for block compressive sensing of images

作者：

Highlights：

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• The rate-distortion performance of structured sensing matrices is analyzed.

• AC CS measurements using SRM are Laplacian distributed.

• CS measurements using BPBD matrices inherit distribution of original images.

• Coding efficiency using fixed Huffman coding and fixed length coding is analyzed.

摘要

•The rate-distortion performance of structured sensing matrices is analyzed.•AC CS measurements using SRM are Laplacian distributed.•CS measurements using BPBD matrices inherit distribution of original images.•Coding efficiency using fixed Huffman coding and fixed length coding is analyzed.

论文关键词：Block compressive sensing,Rate–distortion performance,SRM,BPBD,Uniform quantization,Entropy coding

论文评审过程：Received 4 November 2017, Revised 8 February 2018, Accepted 27 March 2018, Available online 7 April 2018, Version of Record 12 April 2018.

论文官网地址：https://doi.org/10.1016/j.image.2018.03.019