<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/13765" mdate="2009-11-24 00:00:00"> <author>Mario Mastriani</author> <title>Union is Strength in Lossy Image Compression</title> <pages>2630 - 2647</pages> <year>2009</year> <volume>3</volume> <number>11</number> <journal>International Journal of Computer and Information Engineering</journal> <ee>https://publications.waset.org/pdf/13765</ee> <url>https://publications.waset.org/vol/35</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <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&amp;039;s basis), KarhunenLo&amp;egrave;ve 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.</abstract> <index>Open Science Index 35, 2009</index> </article>