A fast wavelet image coder based on contextual coefficient coding

被引：0

作者：

Nguyen-Phi, K ^{[1
]}

Weinrichter, H ^{[1
]}

机构：

[1] Vienna Univ Technol, A-1040 Vienna, Austria

来源：

ICICS - PROCEEDINGS OF 1997 INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATIONS AND SIGNAL PROCESSING, VOLS 1-3: THEME: TRENDS IN INFORMATION SYSTEMS ENGINEERING AND WIRELESS MULTIMEDIA COMMUNICATIONS | 1997年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper we present a new image compression coder based on discrete wavelet transform (DWT). We propose a new method to code the quantized wavelet coefficients. This way of coding exploits both the sparseness and the self-similarity amongst subbands. By using contextual coding and binary arithmetic coder, the statistics of the coefficients is automatically captured. The system is completely adaptive. It is also simple, fast and of low complexity. The proposed system is shown to have good performance, competitive with other more complicated methods. On Lena 512x512, a compression ratio (CR) of 103 can be attained with Peak Signal over Noise Ratio (PSNR) of 28.9dB.

引用

页码：480 / 484

页数：3