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3559
Evaluation of Wavelet Filters for Image Compression
Abstract:
The aim of this paper to characterize a larger set of wavelet functions for implementation in a still image compression system using SPIHT algorithm. This paper discusses important features of wavelet functions and filters used in sub band coding to convert image into wavelet coefficients in MATLAB. Image quality is measured objectively using peak signal to noise ratio (PSNR) and its variation with bit rate (bpp). The effect of different parameters is studied on different wavelet functions. Our results provide a good reference for application designers of wavelet based coder.
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References:

[1] J.M.Shapiro, "Embedded image coding using Zero trees of wavelet coefficients , IEEE Trans. Signal Processing, Vol 41, pp 3445-3462, Dec 1993.
[2] Vetterli .M and Kovacevic .J, "Wavelets and sub band coding", Englewood cliffs, NJ, Prentice Hall 1995.
[3] Amir.Said and W.A.Pearlman , "A new fast and efficient image codec based on set partitioning in hierarchical trees" IEEE Trans Circuits Syst. Video Technol, Vol 6, pp 243-250, June 1996.
[4] Charles D. Creusere. A new method of robust image compression based on the embedded zerotree wavelet algorithm. IEEE Trans. on Image Processing, 6(10):1436-1442, October 1997.
[5] K.Sayood, "Introduction to Data Compression", 2nd edition, Academic Press, Morgan Kaufman Publishers, 2000.
[6] David Solomon, "Data Compression - The Complete Reference", 3rd edition, Springer.
[7] David Taubman. High performance scalable image compression with EBCOT. IEEE Trans. on Image Processing, 9:1158-1170, July 2000.
[8] Sonja Grgic, Mislov Grgic and Branka Zorko-cihlar, " Performance Analysis of Image Compression Using Wavelets" IEEE Trans on Industrial Electronics, Vol 48, No 3, June 2001.
[9] Rafael C. Gonzalez and Richard E. Woods. Digital Image Processing. Pearson Education, Englewood Cliffs, 2002.
[10] Raghuveer Rao and Ajit. B. Bopadikar, "Introduction to Theory and Applications-Wavelet Transforms", Pearson Education Asia, New Delhi, 2004.
[11] James. E.Fowler and Beatrice Pesuet-Popescu, "An Overview on Wavelets in Source Coding, Communication, and Networks," EURSIP Journal on Image and Video Processing, Vol 2007.
[12] G.Sadashivappa, K.V.S. AnandaBabu, "erformance analysis of Image Coding Using Wavelets " IJCSNS International Journal of Computer Science and Network Security, Oct.2008
[13] website: http:// ipl.rpi.edu/SPIHT
[14] R.Sudhakar, Ms.R.Karthiga, S.Jayaraman-Image Compression using Coding of Wavelet Coefficients- A Survey , GVIP, www.icgst.com
[15] Coding of Still Pictures ISO/IEC JTC1/SC29/WG1 ( ITU-T SG8 )
[16] A. Bovik, Ed, Hand Book Of Image and Video Processing, SanDiego. CA, Academic, 2000
[17] Bernd Girod, Robert Gray, Image and Video Coding, IEEE Signal Processing Magazine, M arch 1998
[18] A. Skodras, C. Christopoulos, and T.Ebrahimi, The JPEG 2000 Still Image Compression Standard IEEE Signal Processing Magazine 2001
[19] G.M.Davis, A. Nosratinia, Wavelet based image coding: An Overview - Applied and computational control, Signals and circuits, Vol 1, No1, 1998
[20] M. Antonini, M. Barland, P.Mathica, I.Daubechies, Image coding Using Wavelet Transform, IEEE Trans Image Processing, vol 5, No 1, pp 205- 220, 1992.
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