Adaptive-distributed arithmetic coding for lossless compression

  • Wu, Jiaji
  • Wang, Minli
  • Jeong, Jechang
  • Jiao, Licheng
Citations

SCOPUS

4

초록

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).

키워드

Arithmetic codingCompressionDistributed source codingSlepian-Wolf codingWyner-Ziv codingArithmetic CodingCompressionDistributed source codingSlepian-Wolf codingWyner-Ziv codingDecodingFeedbackFilter banksImage compressionImage coding
제목
Adaptive-distributed arithmetic coding for lossless compression
저자
Wu, JiajiWang, MinliJeong, JechangJiao, Licheng
DOI
10.1109/ICNIDC.2010.5657825
발행일
2010-12
유형
Conference Paper
저널명
Proceedings - 2010 2nd IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2010
페이지
541 ~ 545