Academic Journal

A wavelet packet based block-partitioning image coding algorithm with rate-distortion optimization

Bibliographic Details
Title: A wavelet packet based block-partitioning image coding algorithm with rate-distortion optimization
Authors: Yang YongMing, Xu Chao
Contributors: Yang, YM (reprint author), Peking Univ, State Key Lab Machine Percept, Beijing 100871, Peoples R China., Peking Univ, State Key Lab Machine Percept, Beijing 100871, Peoples R China.
Source: SCI
Publisher Information: science in china series f information sciences
Publication Year: 2008
Collection: Peking University Institutional Repository (PKU IR) / 北京大学机构知识库
Subject Terms: basis selection, bitplane coding, context modeling, set partition, wavelet packet (WP), SPACE-FREQUENCY QUANTIZATION, COMPRESSION, EFFICIENT
Description: As an elegant generalization of wavelet transform, wavelet packet (WP) provides an effective representation tool for adaptive waveform analysis. Recent work shows that image-coding methods based on WP decomposition can achieve significant gain over those based on a usual wavelet transform. However, most of the work adopts a tree-structured quantization scheme, which is a successful technique for wavelet image coding, but not appropriate for WP subbands. This paper presents an image-coding algorithm based on a rate-distortion optimized wavelet packet decomposition and on an intraband block-partitioning scheme. By encoding each WP subband separately with the block-partitioning algorithm and the JPEG2000 context modeling, the proposed algorithm naturally avoids the difficulty in defining parent-offspring relationships for the WP coefficients, which has to be faced when adopting the tree-structured quantization scheme. The experimental results show that the proposed algorithm significantly outperforms SPIHT and JPEG2000 schemes and also surpasses state-of-the-art WP image coding algorithms, in terms of both PSNR and visual quality. ; Computer Science, Information Systems ; SCI(E) ; 0 ; ARTICLE ; 8 ; 1039-1054 ; 51
Document Type: journal/newspaper
Language: English
Relation: 957875; https://hdl.handle.net/20.500.11897/152896; WOS:000257394000005
DOI: 10.1007/s11432-008-0081-6
Availability: https://hdl.handle.net/20.500.11897/152896
https://doi.org/10.1007/s11432-008-0081-6
Accession Number: edsbas.E8E7D967
Database: BASE
Description
DOI:10.1007/s11432-008-0081-6