A MULTIPLE DESCRIPTION CODING METHOD BASED ON SET PARTITIONING IN HIERARCHICAL TREES ALGORITHM FOR COLOR IMAGES

被引：0

作者：

Huang, Chin-Pan ^{[1
]}

Hwang, Bor-Jiunn ^{[1
]}

Mao, Chia-I ^{[1
]}

Wang, Wei-Chuan ^{[1
]}

机构：

[1] Ming Chuan Univ, Dept Comp & Commun Engn, Tao Yuan, Taiwan

来源：

PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-6 | 2009年

关键词：

MDC; Poly-phase Sampling; SPIHT; Wavelet transform;

D O I：

10.1109/ICMLC.2009.5212626

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, a new multiple description coding (MDC) method for color images is presented. The proposed approach bases on the set partitioning in hierarchical trees (SPIHT) algorithm to achieve a high image compression ratio; employs poly-phase sampling technique to generate multiple descriptions to adapt to varying internet environments. It results in having capabilities to conquer packet losses and remaining the reconstructed images with an acceptable quality. In order to preserve the progressive reconstruction properties for a color image transmission, the three components (Red, Green, and Blue) are encoded separately and their encoding results are interleaved for transmission. The proposed method is applicable to color images and is very flexible for practical applications. The experimental results are given to illustrate the characteristics and verify the efficiency of the proposed method.

引用

页码：2817 / 2822

页数：6

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