Robust Image Compression using Integer Wavelet Transform Exploiting Lifting Scheme

  ijett-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2014 by IJETT Journal
Volume-7 Number-5                          
Year of Publication : 2014
Authors :  Tilak Mukherjee , B.Y.V.N.R Swamy , M.V.L Bhavani
  10.14445/22315381/IJETT-V7P256

citation 

Tilak Mukherjee , B.Y.V.N.R Swamy , M.V.L Bhavani, Article : Robust Image Compression using Integer Wavelet Transform Exploiting Lifting Scheme, International Journal of Engineering Trends and Technology(IJETT), 7(5),217-220, published by seventh sense research group

Abstract

In image compression, the motive is to reduce the data redundancy significantly, both in spatial and frequency domain, without much affecting the quality of the picture. Almost lossless reversible image compression model is proposed for both continuous and discrete time cases, exploiting integer wavelet transform(IWT) employing lifting scheme(LS).Unlike its conventional counterpart in wavelet decomposition,here both approximation as well as detailed image contents are splitted providing better compression ratio. Both forward and inverse lifting schemes are exploited so as to reduce the computational complexity and achieve superior compression performance in terms of encoding time, decoding time, PSNR and better compression ratio(CR). Bi-orthogonal wavelets are constructed using lifting scheme that makes optimal use of both high pass and low pass filter values,with addition and shift operations to be performed on the resulting wavelet coefficients. This paper projects the robustness of IWT employing LS used in real time compression of images involving non smooth domains.

References

[1] Cebrail Taskin,Serdar Kursat, ‘’Overview of Image Compression Approaches” IEEE 3rd International Conference on Digital Telecommunications,2008.
[2] C.Lin,Bo Zhang and Yuan F.Zheng,”Packed Integer Wavelet Transform constructed by Lifting scheme” International Journal of Computers,Information Technology and Engineering,June 2008.
[3] Subhasis Saha.”Image Compression from DCT to wavelets:A Review”,The ACM Student Magazine.
[4] Amir Averbuch,Danny Lazar and Moshe Israeli.’’Image Compression using wavelet transform and multiresolution analysis” IEEE Transactions on Imge Processing Vol.5 No.1,January 1996.
[5] Geert Uytterhoeven,Dirk Roose and Adhemar Bultheel,”Integer wavelet transforms using the Lifting Scheme” CSCC 1999 Proceedings.
[6] S.Dewine and Comelis,”Lossless Integer wavelet transform”,IEEE Signal processing Vol.4,March 1997.
[7] G.K Kharate,A.A. Ghatol and P.PRege,’’Image Compression using Wavelet packet Tree”,ICGST-GVIPJournal,Vol.4,Issue 7,July 2005.
[8] Wade Spiras,”Lossless Image Compression via the Lifting Scheme”,University of Central Florida,November 2005.
[9] C.Jain,Vijay Chaudhary,Kapil Jain,Saurabh Karsoliya,”Peformance analysis of Integer wavelet Transform for Image Compression”,IEEE 2011.
[10] Anoop Mathew and Beniskar Raja Singh D,”Image Compression using Lifting based DWT”,International Journal of Computers,Information Technology and Engineering.Jan-June 2009.
[11] Marco Grangetto,Enrico Mangli,”Optimisation and Implemenatation of the Integer Wavelet Transform for Image Coding”,IEEE Transactions on Image Processing, Vol 11 No-6, June 2002.
[12] J.D Villasenor,B.Belzer and J.Liao,”Wavelet filter evaluation for image compression”,IEEE transactions on Image Processing,Vol 4 Aug 1995.

Keywords:
Lifting scheme LS, IWT,PSNR,CR,DWT, Bi-orthogonal wavelets.