Binary tree image compression algorithm based on wavelet transform via lifting scheme

被引：0

作者：

Wang, Cheng-You ^{[1
]}

Hou, Zheng-Xin ^{[1
]}

Yang, Al-Ping ^{[1
]}

机构：

[1] Tianjin Univ, Sch Elect Informat Engn, Tianjin 300072, Peoples R China

来源：

2007 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, VOLS 1-4, PROCEEDINGS | 2007年

关键词：

image compression; wavelet transform; binary tree coding algorithm; quincunx sampling; lifting scheme; Set Partitioning in Hierarchical Trees (SPIHT);

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

In this paper, all phase interpolation filter banks were designed and binary tree wavelet coding algorithm was proposed based on the basic idea of lifting scheme and SPIHT algorithm. The encoding algorithms can be slopped at any compressed file size or let run until the compressed file is a representation of a nearly, lossless image. The experiment results on lest images show that compared with algorithm the PSNR of the proposed algorithm is SPIHT ala superior at the same bit rates about 0.5dB and the subjective quality of reconstructed images is better too.

引用

页码：1528 / 1533

页数：6

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