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Multispectral Images Deblurring via Interchannel Correlation Relationship
Shi, Yuetian; Wang, Nan; Yang, Fanchao; Zhang, Geng; Li, Siyuan; Liu, Xuebin
2021
会议名称4th International Conference on Information Communication and Signal Processing, ICICSP 2021
会议录名称2021 4th International Conference on Information Communication and Signal Processing, ICICSP 2021
页码458-462
会议日期2021-09-24
会议地点Shanghai, China
出版者Institute of Electrical and Electronics Engineers Inc.
产权排序1
摘要Image blur is very common in multispectral images, especially out-of-focus blur when the multispectral cameras are well focused on a specific channel. Therefore, it is important to recover the latent clear images from the blurred image. Many researchers have proposed a large number of methods for deblurring multispectral images. These algorithms assume that the relationship between channels is consistent. In fact, the relationship between different channels in multispectral images suffers from different blurring. Therefore it needs different processing for different channels. We propose a joint spatial and spectral filtering algorithm for multispectral images deblurring. We have introduced an adaptive Gaussian distribution as a constraint relationship between channels, which can effectively deblur the multispectral images. Extensive experiments show that our method achieves state-of-the-art results. © 2021 IEEE.
关键词multispectral images degraded images deblurring interchannel correlation relationship
作者部门光谱成像技术研究室
DOI10.1109/ICICSP54369.2021.9611913
收录类别EI
ISBN号9781665407571
语种英语
EI入藏号20220411511779
引用统计
文献类型会议论文
条目标识符http://ir.opt.ac.cn/handle/181661/95688
专题光谱成像技术研究室
作者单位Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Key Laboratory of Spectral Imaging Technology CAS, Xi'an, China
推荐引用方式
GB/T 7714
Shi, Yuetian,Wang, Nan,Yang, Fanchao,et al. Multispectral Images Deblurring via Interchannel Correlation Relationship[C]:Institute of Electrical and Electronics Engineers Inc.,2021:458-462.
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