Lossless Image Compression Based On Prediction and Contourlet Transform Methods

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2016 by IJCTT Journal
Volume-37 Number-1
Year of Publication : 2016
Authors : J N V R Swarup Kumar, CH.Venkateswara Rao
  10.14445/22312803/IJCTT-V37P107

MLA

J N V R Swarup Kumar, CH.Venkateswara Rao "Lossless Image Compression Based On Prediction and Contourlet Transform Methods". International Journal of Computer Trends and Technology (IJCTT) V37(1):31-33, July 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
The paper presents the lossless image compression based on prediction and contourlet transform methods in image processing. The lossless compression usually a less bandwidth or less memory and low compression ratio at the cost of image quality degradation. In the paper presents prediction and Contourlet transform methods are used. In prediction method, convert the color image to YVU and then apply the hierarchical scheme of upper, left, and lower pixels for the pixel prediction and arithmetic coding is added to the error signal corresponding to each context. In Contourlet transform has better convergence and finds the direct discrete-space construction to get flexible multiresolution, and better image compression. The experimental results show that the Contourlet transform reduces the bit rates compared with prediction method.

References
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Keywords
Lossless color image compression, hierarchical prediction, context adaptive arithmetic coding and Contourlet transform.