Hyperspectral Image Compression By Using Distributed Source Coding
- https://doi.org/10.2991/jimet-15.2015.68How to use a DOI?
- Hyperspectral image, lossy compression, distributed source coding, bit-rate allocation.
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.
- © 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/).
Cite this article
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 - https://doi.org/10.2991/jimet-15.2015.68 ID - Liu2015/12 ER -