DocumentCode
536166
Title
Adaptive-distributed arithmetic coding for lossless compression
Author
Wu, Jiaji ; Wang, Minli ; Jeong, Jechang ; Jiao, Licheng
Author_Institution
Dept. of Electron. & Comput. Eng., Hanyang Univ., Seoul, South Korea
fYear
2010
fDate
24-26 Sept. 2010
Firstpage
541
Lastpage
545
Abstract
Distributed arithmetic coding (DAC) is an effective implementation of Slepian-Wolf coding (SWC), especially for short data blocks. However, currently, most of the DAC research methods focus on the lossy compression on the condition that the prior knowledge is known in advance. In order to realize lossless and adaptive compression, in this paper, we propose lossless adaptive-distributed arithmetic coding (LADAC) using the method of EOF (end of the file) and the adaptive encoding. In our proposed LADAC, encoder and decoder can work simultaneously instead of alternatively, and encoder-driven method is also achieved without a feedback channel instead of decoder-driven. Experimental results show that LADAC performs the better compression performance and the lower complexity than conventional lossless distributed arithmetic coding (LDAC).
Keywords
adaptive codes; arithmetic codes; data compression; DAC; DAC research methods; LADAC; SWC; Slepian-Wolf coding; adaptive compression; decoder-driven method; encoder-driven method; end of the file method; lossless adaptive-distributed arithmetic coding; lossless compression; Codecs; Complexity theory; Decoding; Encoding; Entropy; Image coding; Measurement; Distributed source coding; Slepian-Wolf coding; Wyner-Ziv coding; arithmetic coding; compression;
fLanguage
English
Publisher
ieee
Conference_Titel
Network Infrastructure and Digital Content, 2010 2nd IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-6851-5
Type
conf
DOI
10.1109/ICNIDC.2010.5657825
Filename
5657825
Link To Document