Hyperspectral Image Compression By Using Distributed Source Coding

摘要：

　　This paper presents an efficient compression algorithm based on distributed source coding. The proposed algorithm employs a block-based quantizer followed by distributed lossless coding. First, a bit-rate allocation algorithm is used to assign the rational bit-rate for each block. Subsequently, the multi-linear regression model is employed to construct the side information of each block, and the optimal quantization step size of each block is obtained under the assigned bit-rate while minimizing the distortion. Finally, the quantized block is encoded by distributed lossless compression. Experimental results show that the proposed algorithm provides competitive compression performance, low encoder complexity and error resilience.

关键词： Hyperspectral image lossy compression distributed source coding bit-rate allocation

作者: Yu Liu Pengyue Li Bingchao Huang Ke Xu Yongjian Nian

作者单位: School of Biomedical Engineering, Third Military Medical University, Chongqing 400038, China College of Electronic Science and Engineering,NationalUniversity of Defense Technology, Changsha 410

会议类型: 国际会议

会议名称: 2015 Joint International Mechanical,Electronic and Information Technology Conference(JIMET 2015)(2015 联合国际机械,电子与信息技术国际会议)

会议地点: 重庆

会议语种:英文

页码: 367-371

在线出版日期: 2015-12-18（万方平台首次上网日期，不代表论文的发表时间）