Hyperspectral image lossless compression using DSC and 2-D CALIC

摘要：

In recent few years, DSC (Distributed Source Coding) technology is catched much attentions in remote sensing image compression field ? Due to its excellent performance and low encoding complexity. In this paper, we propose a DSC-based practical solution for hyperspectral image lossless compression system, which applies the DSC technique using the power channel codes of LowDensity-Parity-Check Accumulated(LDPCA) codes and incorporates an efficient 2-D Context-Based Adaptive Lossless Image Coding (2-D CALIC) prediction. The performance is evaluated on a few hyperspectral data, and the results demonstrate that our proposed scheme is appropriate for hyperspectral image lossless compression and applied to similar binary DSC coder, it indicates that the complexity is significantly reduced at encoder.

关键词： DSC Slepian-Wolf theory hyperspectral image 2-D CALIC LDPCA code

作者: Yanjun Gong Xueping Yan Jiaji Wu

作者单位: Department of Electronic Engineering Hunan University of Science and Engineering Yongzhou, Hunan 425 School of Electronic Engineering Xidian University Xian, Shaanxi 710071, China

会议类型: 国际会议

会议名称: 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering(计算机与通信技术在农业工程国际会议 CCTAE 2010)

会议地点: 成都

会议语种:英文

页码: 460-463

在线出版日期: 2010-06-12（万方平台首次上网日期，不代表论文的发表时间）