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Multispectral image compression algorithm based on spectral clustering and wavelet transform
Huang Rong1,2; Qiao Weidong2; Yang Jianfeng2; Wang Hong1,2; Xue Bin2; Tao Jinyou2; Huang, R (reprint author), Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710068, Shaanxi, Peoples R China.
2017
会议名称Conference on LIDAR Imaging Detection and Target Recognition
会议录名称LIDAR IMAGING DETECTION AND TARGET RECOGNITION 2017
卷号10605
会议日期2017-07-23
会议地点Changchun, PEOPLES R CHINA
出版地BELLINGHAM
出版者SPIE-INT SOC OPTICAL ENGINEERING
产权排序1
摘要

In this paper, a method based on spectral clustering and the discrete wavelet transform (DWT) is proposed, which is based on the problem of the high degree of space-time redundancy in the current multispectral image compression algorithm. First, the spectral images are grouped by spectral clustering methods, and the clusters of similar heights are grouped together to remove the redundancy of the spectra. Then, wavelet transform and coding of the class representative are performed, and the space redundancy is eliminated, and the difference composition is applied to the Karhunen-Loeve transform (KLT) and wavelet transform. Experimental results show that with JPEG2000 and upon KLT + DWT algorithm, compared with the method has better peak signal-to-noise ratio and compression ratio, and it is suitable for compression of different spectral bands.

关键词Multispectral Image Compression Spectral Clustering Wavelet Transform
学科领域Optics
作者部门月球与深空探测技术研究室
DOI10.1117/12.2292014
收录类别EI ; ISTP
ISBN号978-1-5106-1707-0; 978-1-5106-1706-3
语种英语
ISSN号0277-786X
引用统计
文献类型会议论文
条目标识符http://ir.opt.ac.cn/handle/181661/29975
专题月球与深空探测技术研究室
通讯作者Huang, R (reprint author), Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710068, Shaanxi, Peoples R China.
作者单位1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710068, Shaanxi, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Huang Rong,Qiao Weidong,Yang Jianfeng,et al. Multispectral image compression algorithm based on spectral clustering and wavelet transform[C]. BELLINGHAM:SPIE-INT SOC OPTICAL ENGINEERING,2017.
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