块迭代线性预测的超光谱图像分布式压缩算法

doi:10.3969/j.issn.1001-2400.2010.04.018

J4 ›› 2010, Vol. 37 ›› Issue (4): 683-688.doi: 10.3969/j.issn.1001-2400.2010.04.018

块迭代线性预测的超光谱图像分布式压缩算法

吴宪云¹;李云松¹;吴成柯¹;孔繁锵¹;李文明²

(1. 西安电子科技大学综合业务网理论及关键技术国家重点实验室，陕西西安 710071;
2. 中国科学院长春光学精密机械与物理研究所，吉林长春 130033)

收稿日期:2009-05-12 出版日期:2010-08-20 发布日期:2010-10-11
通讯作者: 吴宪云
作者简介:吴宪云(1985-)，男，西安电子科技大学博士研究生，E-mail: xywu@mail.xidian.edu.cn．
基金资助:
国家自然科学基金资助项目(60702058,60802076);“111”工程资助项目(B08038);CAST创新基金资助项目

Block based iterative linear prediction at the decoder for hyper-spectral imagery compression using distributed source coding

WU Xian-yun¹;LI Yun-song¹;WU Cheng-ke¹;KONG Fan-qiang¹;LI Wen-ming²

(1. State Key Lab. of Integrated Service Networks, Xidian Univ., Xi'an 710071， China;
2. Changchun Inst. of Optics, Fine Mechanics and Physics, Chinese Academy of Sci., Changchun 130033， China)

Received:2009-05-12 Online:2010-08-20 Published:2010-10-11
Contact: WU Xian-yun

摘要/Abstract

摘要：

根据超光谱图像特点和应用环境要求，提出一种基于DCT变换域分布式信源编码的超光谱图像压缩算法．编码端首先进行线性预测，然后按DCT子带顺序进行比特平面编码，解码端使用关键帧重建边信息进行LDPC解码．在编码端使用部分像素点进行线性预测，从而减少了编码端的运算量．在解码端，利用已解码子带信息进行基于块的迭代线性预测，使用优化后的边信息解码后面的子带．与传统算法相比，本算法在编码端的运算量更少，需要的存储空间更小，满足超光谱图像压缩系统要求，易于硬件实现．

关键词: 超光谱图像, 分布式信源编码, 迭代线性预测, 边信息优化

Abstract:

Based on the analysis of the hyper-spectral images, a new compression algorithm based on the DCT transform domain distributed source coding is proposed. Our algorithm performs the bitplane encoding at the encoder with the DCT subbands order, while using the key frame to reconstruct the side information for LDPC decoding at the decoder. Few pixels are adopted to perform linear prediction at the encoder, thus reducing the complexity. Subbands previously decoded are utilized for iterative linear prediction based on blocks at the decoder, and following subbands are decoded with optimized side information. Compared with conventional algorithms, the proposed algorithm efficiently reduces the cost of computation and memory usage at the encoder, which facilitates the hardware implementation.

Key words: hyper-spectral imagery, distributed source coding, iterative linear prediction, side information optimize

吴宪云;李云松;吴成柯;孔繁锵;李文明. 块迭代线性预测的超光谱图像分布式压缩算法[J]. J4, 2010, 37(4): 683-688.

WU Xian-yun;LI Yun-song;WU Cheng-ke;KONG Fan-qiang;LI Wen-ming. Block based iterative linear prediction at the decoder for hyper-spectral imagery compression using distributed source coding[J]. J4, 2010, 37(4): 683-688.

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块迭代线性预测的超光谱图像分布式压缩算法

Block based iterative linear prediction at the decoder for hyper-spectral imagery compression using distributed source coding

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