无损自适应分布式算术编码的研究及应用  

Research on lossless adaptive-distributed arithmetic coding and its applications

作　　者：王敏超[1,2] 王敏莉[3] 李秋生[3] 张诚鎏[1] 

机构地区：[1]西北核技术研究所,陕西西安710024 [2]西安电子科技大学通信工程学院,陕西西安710071 [3]西安电子科技大学电子工程学院,陕西西安710071

出　　处：《计算机工程与设计》2011年第10期3470-3476,共7页Computer Engineering and Design

摘　　要：目前分布式算术编码研究都是基于先验概率已知的有损压缩,为了实现概率自适应的无损压缩,研究了采用结束字符和概率自适应的编码方式来实现编码,提出了无损自适应分布式算术编码。实验结果表明,该算法拥有更好的压缩效果和更低的解码复杂度,并且在实际应用中,编解码可以同时进行。由于无损自适应分布式算术编码具有编码简单、压缩效果好的优点,故将它和比特面编码结合实现超光谱图像压缩,并将仿真结果与3D-SPECK算法比较,结果表明了该方法可以使信噪比提高0.13-0.37dB。Currently, most of the DAC （distributed arithmetic coding） research methods focus on the lossy compression on the conditionthat the prior knowledge is known in advance. To realize adaptive and lossless compression,LADAC （ lossless adaptive-distributed arithmetic coding ） is proposed, which adopts the method of EOF （end of the file） and the adaptive encoding. Experimental result shows that LADAC processes the better compression performance and lower decoder complexity, and encoding and decoding can be done simultaneously in practice. Because of these merits of simple encoding and good compression performance, LADAC is combined with bit-plane coding to achieve hyper-spectral images compression, and experimental result shows that, compared with 3D-SPECK, this method can improve SNR by 0.13-0.3 7dB.

关 键 词：算术编码 分布式信源编码 分布式算术编码 无损分布式算术编码 无损自适应分布式算术编码 超光谱图像压缩 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]