SSP'05 -- Proceedings

	IEEE/SP 13th workshop on Statistical Signal Processing July, 17-20, 2005 - Bordeaux - France

Information regarding the paper

Title

Modified EZW Coding for the M-Band Wavelet Transform and its Application to Image Compression

Author(s)

Ganesh Bhokare	Technical Lead, Metta Technologies, India
Raghuram Karthik	Software Engineer, Texas Instruments India
Vikram Gadre	Professor, Electrical Engineering Department, IIT Bombay

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Abstract

This paper describes the extension of the embedded zero wavelet tree coding technique [2] to the M-Band wavelet transform. Through this scheme, we improve the efficiency of the embedded zero wavelet tree coding, that finds extensive application as a variable bit-rate coder. To prove the efficacy, we compare the compression ratio and the PSNR obtained by a traditional 2-Band wavelet based coder, with those obtained with the M-Band wavelet based EZW coder. One additional point discussed in this paper, is the performance of a traditional 2-level quantization in EZW against an M-Adaptive coder. We see the advantages and disadvantages in going in for an M-Adaptive coder and conclude based on the PSNR and Compression ratio obtained at various bit-rates. The variable bit-rate is emulated as multiple scans. Hence graphs plot the compression ratio or the PSNR against the number of scans. An important inference drawn from this paper is that, M-Band wavelet transform with M=Odd, exhibits special properties, as a result of which the EZW scheme performs much more efficiently with them.