DocumentCode :
3384048
Title :
An error-resilient blocksorting compression algorithm
Author :
Butterman, Lee ; Memon, Nasir
Author_Institution :
Dept. of Comput. Sci., Brown Univ., Providence, RI, USA
fYear :
2003
fDate :
25-27 March 2003
Firstpage :
417
Abstract :
Summary form only given. The error susceptibility in the compressed bit stream is considered as a key limitation of adaptive lossless compression systems. The inherent design of these systems often requires that they discard all data subsequent to the error. This is especially problematic in the Burrows-Wheeler blocksorting transform (BWT), with 1MB suffix-sorted blocks. Error-correcting codes, such as Reed-Solomon codes, can be used but their design allows for a maximum pre-fixed error rate. If the channel errors exceed the maximum pre-fixed error rate, the whole block is lost. An error resilient version of the BWT was presented that has error-free output in low channel noise. It gracefully degrades output quality, as errors increase by scattering output errors, and avoids significant error propagation typical with adaptive lossless compression systems. These techniques give interesting new insights on the increasingly popular compression algorithm.
Keywords :
adaptive systems; coding errors; data compression; error correction codes; sorting; BWT; Burrows-Wheeler blocksorting transform; adaptive lossless compression systems; bit stream; block sorting; blocksorting compression algorithm; channel errors; channel noise; error propagation; error resiliency; error susceptibility; maximum pre-fixed error rate; ouput quality; scattering output errors; Adaptive systems; Character generation; Compression algorithms; Computer science; Decoding; Degradation; Error analysis; Error correction codes; Histograms; Reed-Solomon codes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Compression Conference, 2003. Proceedings. DCC 2003
ISSN :
1068-0314
Print_ISBN :
0-7695-1896-6
Type :
conf
DOI :
10.1109/DCC.2003.1194036
Filename :
1194036
Link To Document :
بازگشت