Sparse Multi-layer Image Approximation: Facial Image Compression

Sohrab Ferdowsi; Svyatoslav Voloshynovskiy; Dimche Kostadinov

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arXiv · 1506.03998

Sparse Multi-layer Image Approximation: Facial Image Compression

Sohrab Ferdowsi·Svyatoslav Voloshynovskiy·Dimche Kostadinov

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Abstract

We propose a scheme for multi-layer representation of images. The problem is first treated from an information-theoretic viewpoint where we analyze the behavior of different sources of information under a multi-layer data compression framework and compare it with a single-stage (shallow) structure. We then consider the image data as the source of information and link the proposed representation scheme to the problem of multi-layer dictionary learning for visual data. For the current work we focus on the problem of image compression for a special class of images where we report a considerable performance boost in terms of PSNR at high compression ratios in comparison with the JPEG2000 codec.

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BibTeX RIS

Sohrab Ferdowsi, Svyatoslav Voloshynovskiy, Dimche Kostadinov. 2015-06-12. Sparse Multi-layer Image Approximation: Facial Image Compression. https://arxiv.org/abs/1506.03998

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