Sparse Multi-layer Image Approximation: Facial Image Compression
Computer Vision and Pattern Recognition
2015-06-15 v1 Information Theory
math.IT
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.
Cite
@article{arxiv.1506.03998,
title = {Sparse Multi-layer Image Approximation: Facial Image Compression},
author = {Sohrab Ferdowsi and Svyatoslav Voloshynovskiy and Dimche Kostadinov},
journal= {arXiv preprint arXiv:1506.03998},
year = {2015}
}
Comments
Submitted to the MLSP 2015