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
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;
Conference_Titel :
Network Infrastructure and Digital Content, 2010 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6851-5
DOI :
10.1109/ICNIDC.2010.5657825