A JPEG decompression technique based on compressed sensing

Chihiro Tsutake; Ryoya Yamada; Toshiyuki Yoshida

doi:10.1117/12.2521526

22 March 2019 A JPEG decompression technique based on compressed sensing

Chihiro Tsutake, Ryoya Yamada, Toshiyuki Yoshida

Proceedings Volume 11049, International Workshop on Advanced Image Technology (IWAIT) 2019; 1104935 (2019) https://doi.org/10.1117/12.2521526
Event: 2019 Joint International Workshop on Advanced Image Technology (IWAIT) and International Forum on Medical Imaging in Asia (IFMIA), 2019, Singapore, Singapore

Abstract

Total-variation-minimization-based JPEG decompression is recognized as a promising technique for providing artifact-free images. Such a technique is typically accomplished in solving an optimization problem based on iterative methods. However, conventional decompression techniques sometimes exhibit over-smoothed regions in decompressed images by increasing iteration count. As a result, users are confused since an optimal iteration number is unknown for an arbitrarily given JPEG bitstream. To overcome the difficulty, we propose a new iterative JPEG decompression technique that combines a total variation minimization strategy with the so-called compressed sensing. In contrast to existing approaches, our technique always provides optimal decompression results, despite increasing iteration count. The experimental results indicate that the proposed technique is advantageous over conventional ones.

Citation Download Citation

Chihiro Tsutake, Ryoya Yamada, and Toshiyuki Yoshida "A JPEG decompression technique based on compressed sensing", Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 1104935 (22 March 2019); https://doi.org/10.1117/12.2521526

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