Hyperspectral Image Compression By Using Distributed Source Coding

DOI

10.2991/jimet-15.2015.68How to use a DOI?

Keywords

Hyperspectral image, lossy compression, distributed source coding, bit-rate allocation.

Abstract

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yu Liu
AU  - Pengyue Li
AU  - Bingchao Huang
AU  - Ke Xu
AU  - Yongjian Nian
PY  - 2015/12
DA  - 2015/12
TI  - Hyperspectral Image Compression By Using Distributed Source Coding
BT  - Proceedings of the 2015 Joint International Mechanical, Electronic and Information Technology Conference
PB  - Atlantis Press
SP  - 367
EP  - 371
SN  - 2352-538X
UR  - https://doi.org/10.2991/jimet-15.2015.68
DO  - 10.2991/jimet-15.2015.68
ID  - Liu2015/12
ER  -