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Sparse Multi-layer Image Approximation: Facial Image Compression

2015-06-12 · Sohrab Ferdowsi, Svyatoslav Voloshynovskiy, Dimche Kostadinov

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.

📄 PDF Abstract BibTeX arXiv:1506.03998

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Data CompressionDictionary LearningImage Compression

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