JELE_V2_N2_RP2 Sreekanth Reddy Madha T. Ramashri Journal on Electronics Engineering 2249 – 0760 2 2 11 16 PSNR, Retained Coefficients, Curvelet Transform, Wavelet Transform, Ridgelet Transform Image Compression is a widely addressed research area. Many compression standards have been in place. But still there is a scope for higher compression with quality reconstruction. The introduction of wavelets gave a different dimension to the compression. But there are some limitations of wavelets while handling the line and curve singularities in the image. There are transforms beyond wavelets namely-Curvelet and Ridgelet Transforms. This paper aims at the analysis of color image compression using Wavelet, Ridgelet and Curvelet Transform. The Curvelet Transform gives better performance in terms of PSNR. Wavelet performs the least and is also affected by the blocking artifacts. Ridgelet is designed to handle line and edge singularities, where as Curvelet is designed to handle singularities on curves. By selecting proper thresholding method, better results for PSNR have been obtained. Color images in the YCbCr color model are used. December 2011 - February 2012 Copyright © 2012 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=1622