Union is strength in lossy image compression
Computer Vision and Pattern Recognition
2016-08-03 v1
Abstract
In this work, we present a comparison between different techniques of image compression. First, the image is divided in blocks which are organized according to a certain scan. Later, several compression techniques are applied, combined or alone. Such techniques are: wavelets (Haar's basis), Karhunen-Loeve Transform, etc. Simulations show that the combined versions are the best, with minor Mean Squared Error (MSE), and higher Peak Signal to Noise Ratio (PSNR) and better image quality, even in the presence of noise.
Keywords
Cite
@article{arxiv.1608.00268,
title = {Union is strength in lossy image compression},
author = {Mario Mastriani},
journal= {arXiv preprint arXiv:1608.00268},
year = {2016}
}
Comments
18 pages, 21 figures, 4 tables. arXiv admin note: substantial text overlap with arXiv:1607.03164, arXiv:1405.0632, arXiv:1608.00265