The EREC: An error-resilient technique for coding variable-length blocks of data

被引:161
作者
Redmill, DW [1 ]
Kingsbury, NG [1 ]
机构
[1] UNIV CAMBRIDGE,DEPT ENGN,SIGNAL PROC & COMMUN LAB,CAMBRIDGE,ENGLAND
关键词
D O I
10.1109/83.491333
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Many source and data compression schemes work by splitting the input signal into blocks and producing variable-length coded data for each block. If these variable-length blocks are transmitted consecutively, then the resulting coder is highly sensitive to channel errors. Synchronization code words are often used to provide occasional resynchronization at the expense of a some added redundant information. This paper introduces the error-resilient entropy code (EREC) as a method for adapting existing schemes to give increased resilience to random and burst errors while maintaining high compression, The EREC has been designed to exhibit graceful degradation with worsening channel conditions, The EREC is applicable to many problems and is particularly effective when the more important information is transmitted near the start of each variable-length block and is not dependent on following data. The EREC has been applied to both still image and video compression schemes, using the discrete cosine transform (DCT) and variable-length coding, The results have been compared to schemes using synchronization code words, and a large improvement in performance for noisy channels has been observed.
引用
收藏
页码:565 / 574
页数:10
相关论文
共 19 条
[1]  
*CCITT STUD GROUP, 1990, DRAFT REV REC H261 V
[2]   THE ERPC - AN EFFICIENT ERROR-RESILIENT TECHNIQUE FOR ENCODING POSITIONAL INFORMATION OR SPARSE DATA [J].
CHENG, NT ;
KINGSBURY, NG .
IEEE TRANSACTIONS ON COMMUNICATIONS, 1992, 40 (01) :140-148
[3]  
CHENG NT, 1991, THESIS CAMBRIDGE U
[4]   A STUDY OF VECTOR QUANTIZATION FOR NOISY CHANNELS [J].
FARVARDIN, N .
IEEE TRANSACTIONS ON INFORMATION THEORY, 1990, 36 (04) :799-809
[5]   SELF-SYNCHRONIZING HUFFMAN CODES [J].
FERGUSON, TJ ;
RABINOWITZ, JH .
IEEE TRANSACTIONS ON INFORMATION THEORY, 1984, 30 (04) :687-693
[6]  
*INT ORG STAND, 1991, 10918 ISO
[7]  
*INT ORG STAND, 1990, ISOIECJTC1SC2WG8MPEG
[8]  
LAM WM, 1992, P INT C AC SPEECH SI
[9]   AN INTRODUCTION TO ARITHMETIC CODING [J].
LANGDON, GG .
IBM JOURNAL OF RESEARCH AND DEVELOPMENT, 1984, 28 (02) :135-149
[10]  
MACDONALD N, 1992, SPIE VISUAL COMMUN I, P1484