IMAGE-CODING USING ADAPTIVE RECURSIVE INTERPOLATIVE DPCM

被引：12

作者：

GIFFORD, EA ^{[1
]}

HUNT, BR ^{[1
]}

MARCELLIN, MW ^{[1
]}

机构：

[1] UNIV ARIZONA,DEPT ELECT & COMP ENGN,TUCSON,AZ 85721

来源：

IEEE TRANSACTIONS ON IMAGE PROCESSING | 1995年 / 4卷 / 08期

基金：

美国国家科学基金会;

关键词：

D O I：

10.1109/83.403413

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A predictive image coder having minimal decoder complexity is presented, The image coder utilizes recursive interpolative DPCM in conjunction with adaptive classification, entropy-constrained trellis coded quantization, and optimal rate allocation to obtain signal-to-noise ratios (SNR's) in the range of those provided by the most advanced transform coders.

引用

页码：1061 / 1069

页数：9

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