A novel coding scheme for wavelet image compression

Tian-Hu Yu, Zhiai He, and Sanjit K. Mitra
Department of Electrical and Computer Engineering
University of California, Santa Barbara, CA 93106, USA
{yu, zhihai, mitra} [at] iplab.ece.ucsb.edu


In this papaer, we propose a very simple image compression scheme, The proposed coding scheme employs the multi-level dyadic wavelet decompositoin, linear quantization with a proper dead zone, and then it converts the quantized wavelet coefficients into three 1-D sequences for adaptive arithmetic coding. first, some of the clustered zeros in the multi-level dyadic wavelet decomposition are represented with the quadtree code, and then the remaining zeros and non-zero integers are arranged as a 1-D sequence by raster scanning. Next, the resulting integer sequence is decomposed into two 1-D sequences with small alphabet. Despite the simplicity of the proposed coding scheme, the rate-distortion performance of the proposed image compression algorithm is competitive with the best image coders in the literature.
[PDF] [BibTex]
Tian-Hu Yu, Zhihai He, and S. K. Mitra,
34th Asilomar Conference on Signals, Systems, and Computers, Oct. 2000.
Node ID: 310 , DB ID: 107 , Lab: IPL , Target: Proceedings
Subject: [IPL] « Look up more