Compression d'images par SVD et sur-approximation des composantes de chrominance
Abstract
This paper gives a new scheme of colour image compression related to singular values matrix approximation. The image has to be converted in luminance / chrominance space before being processed like JPEG standard 4 : 2 : 0. Our approach is first based on a chrominance sub-sampling, then an over estimation of its singular values. Instead of keeping only the k first singular values for the 3 components R, G and B, we hold k first coefficients for the Y component and only k' (k' <= k) coefficients for 2 components Cb and Cr. Results show that for 512 x 512 pixels that, from k = 40 corresponding in an average distortion of 30 dB and a ratio of 15 : 1, the restored image has good quality. The algorithm allows a significant speed gain by sub-sampling too.
Keywords
Cite
@article{arxiv.1308.0608,
title = {Compression d'images par SVD et sur-approximation des composantes de chrominance},
author = {Henri Bruno Razafindradina and Paul Auguste Randriamitantsoa and Nicolas Raft Razafindrakoto},
journal= {arXiv preprint arXiv:1308.0608},
year = {2013}
}
Comments
CARI 2010 Proceedings, Yamoussoukro, pp 253-260