Monday, 28 January 2013

Efficient Image Compression Algorithms Using Evolved Wavelets

Vol.1 No. 4

Year: 2011

Issue: June-August

Title: Efficient Image Compression Algorithms Using Evolved Wavelets 

Author Name: Chenchu Krishnaiah G, T. Jaya Chandra Prasad, Giri Prasad M.N 

Synopsis: 

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.

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