Trellis based variable rate residual image coding over noisy channels

被引：0
|
作者：
Eriksson, Tomas [1 ]
Goertz, Norbert [1 ]
Novak, Mirek
Anderson, John B.
机构：
[1] Univ Edinburgh, Sch Engn & Elect, Inst Digital Commun, Kings Bldg, Edinburgh EH9 3JL, Midlothian, Scotland
来源：
DCC 2006: DATA COMPRESSION CONFERENCE, PROCEEDINGS | 2006年
基金：
英国工程与自然科学研究理事会;
关键词：
image coding; trellis quantization; model-residual approach; joint source and channel coding;
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：
We consider the lossy image compression problem and propose a model-residual approach. Polynomial basis images encode the model image and powerful new trellis codes quantize the residual part. A simple bit allocation scheme determines the residual bit rates and a variety of rates are attainable without entropy coding. The trellis structure is also used to form a joint source and channel coding scheme for the residual components. Results are shown for the 0.4-1.6 bits per pixel region. Comparisons are made to several state-of-the-art techniques and show that the proposed scheme is very competitive.
引用
收藏
页码：252 / +
页数：2
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