Paper Details: Downloads: 513
Serial Number: P1150740004
Title: Image Compression Using Curvelet, Ridgelet and Wavelet Transform, A Comparative Study
Authors: M.S. Joshi and R.R. Manthalkar and Y.V. Joshi
Abstract: 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 compression using Curvelet, Wavelet and the Ridgelet Transform. The Curvelet Transform gives better performance in terms of PSNR. Wavelet performs the least and is also affected by the blocking artifacts. By selecting proper thresholding method, better results for PSNR have been obtained. Extensive experimentation has been carried out to arrive at the conclusion.
Keywords: Image compression , Curvelet transform, Wavelet Transform, Ridgelet Transform
Journal/Conference: International Journal of Graphics, Vision and Image Processing
Volume: 8
Issue: 3
Submission Date: 10/1/2007 12:00:00 AM
Review Date: 2/1/2008 12:00:00 AM
Publishing Date: 9/5/2008 12:00:00 AM
Article Downloads: 513
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