JELE_V1_N4_RP1 G. Chenchu Krishnaiah T. Jayachandraprasad M.N. Giri Prasad Journal on Electronics Engineering 2249 – 0760 1 4 1 8 Low Complexity, Efficient, 5/3 Wavelet Filter, 9/7 Wavelet Filter, Implementation, Image Compression, Algorithms, Evolved Wavelets The 9/7 and 5/3 lifting based wavelet filters are widely used in different image compression schemes, such as JPEG 2000 image compression standard. The performance of a hardware implementation of the 9/7 and 5/3 filter banks depends on the accuracy with which filter coefficients are represented. In this paper an attempt has been made to study the performance of 9/7 and 5/3 wavelets on photographic images (monochrome and color) and estimated Peak Signal to Noise Ratio (PSNR), Compression Ratio (CR), Mean Square Error (MSE), Encoding Time, Decoding Time, Transforming Time or Decomposition Time…etc. This study shows that the 5/3 wavelet transform outperform the 9/7 wavelet transform. June - August 2011 Copyright © 2011 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=1504