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Remote sensing image compression algorithm based on wavelet sub-bands entropy
其他题名论文其他题名
Sui Y.P.; Yang C.Y.; Liu Y.J.; Wang J.; Wei Z.H.; He X.
2008
发表期刊Guangdian Gongcheng/Opto-Electronic Engineering
ISSN1003501X
卷号35期号:2页码:61-65+133
摘要A high-performance lossy compression algorithm was proposed for remote sensing image compression based on bit allocation using sub-bands entropy. After decomposing the remote sensing image by using wavelet lifting scheme, the distribution of energy percentage and entropy of high frequency sub-bands were analyzed. A novel bit allocation method using the entropy was proposed. Uniform scalar quantification was implemented for each high frequency sub-band. Bit plane encoding followed and included two parts. The coordinates of non-zero coefficients were registered in the most significant bit plane, and run-length encoding and Huffman encoding were adopted for other bit planes. Experimental results show that the compression scheme performs well on a set of test remote sensing images including complicated texture images and relative planar ones. The Peak Signal to Noise Ratio (PSNR) is all higher than 34dB. However, the Compression Ratio (CR) depends on image's complicated degree.
收录类别EI
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/24512
专题中科院长春光机所知识产出
推荐引用方式
GB/T 7714
Sui Y.P.,Yang C.Y.,Liu Y.J.,et al. Remote sensing image compression algorithm based on wavelet sub-bands entropy[J]. Guangdian Gongcheng/Opto-Electronic Engineering,2008,35(2):61-65+133.
APA Sui Y.P.,Yang C.Y.,Liu Y.J.,Wang J.,Wei Z.H.,&He X..(2008).Remote sensing image compression algorithm based on wavelet sub-bands entropy.Guangdian Gongcheng/Opto-Electronic Engineering,35(2),61-65+133.
MLA Sui Y.P.,et al."Remote sensing image compression algorithm based on wavelet sub-bands entropy".Guangdian Gongcheng/Opto-Electronic Engineering 35.2(2008):61-65+133.
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