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 | |
会议日期 | 2017-07-23 |
会议地点 | Changchun, PEOPLES R CHINA |
关键词 | Multispectral Image Compression Spectral Clustering Wavelet Transform |
卷号 | 10605 |
DOI | 10.1117/12.2292014 |
英文摘要 | 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. |
产权排序 | 1 |
会议录 | LIDAR IMAGING DETECTION AND TARGET RECOGNITION 2017 |
会议录出版者 | SPIE-INT SOC OPTICAL ENGINEERING |
会议录出版地 | BELLINGHAM |
学科主题 | Optics |
语种 | 英语 |
ISSN号 | 0277-786X |
ISBN号 | 978-1-5106-1707-0; 978-1-5106-1706-3 |
内容类型 | 会议论文 |
源URL | [http://ir.opt.ac.cn/handle/181661/29975] |
专题 | 西安光学精密机械研究所_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]. 见:. Changchun, PEOPLES R CHINA. 2017-07-23. |
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