Title :
Performance analysis of wavelets in embedded zerotree-based lossless image coding schemes
Author :
Ramaswamy, V.N. ; Namuduri, K.R. ; Ranganathan, Nagarajan
Author_Institution :
Center for Microelectron. Res., Univ. of South Florida, Tampa, FL
Abstract :
The framework for an image coding system based on embedded zerotrees consists of three stages: (i) wavelet transform (ii) embedded zerotree encoding and (iii) adaptive arithmetic encoding. In this framework, the selection of the wavelet filter becomes an important issue. In this paper, we present a modification to the scanning approach in the set partitioning algorithm proposed in Said and Pearlman (1996) to exploit the correlation in a local neighborhood. Two new criteria are proposed for evaluating the performance of wavelets in lossless image compression applications: zero tree count and monotone spectral ordering of subbands produced after the wavelet transform in a multiresolution scheme. We evaluate several wavelet filters to test the evaluation criteria and present experimental results to justify the proposed performance criteria
Keywords :
adaptive codes; arithmetic codes; data compression; digital filters; image coding; image resolution; transform coding; wavelet transforms; adaptive arithmetic encoding; correlation; embedded zerotree encoding; embedded zerotree-based lossless image coding schemes; local neighborhood; lossless image compression applications; monotone spectral ordering; multiresolution scheme; performance analysis; scanning approach; set partitioning algorithm; wavelet filter; wavelet transform; zero tree count; Arithmetic; Filters; Image coding; Image resolution; Partitioning algorithms; Performance analysis; Performance loss; Testing; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
DOI :
10.1109/ICIP.1997.638742
