Blind Remote Sensing Image Deblurring Using Local Binary Pattern Prior

doi:10.3390/rs14051276

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	Blind Remote Sensing Image Deblurring Using Local Binary Pattern Prior
	Z. Y. Zhang; L. L. Zheng; Y. J. Piao; S. P. Tao; W. Xu; T. Gao and X. B. Wu
刊名	Remote Sensing
	2022
卷号	14 期号:5 页码:23
DOI	10.3390/rs14051276
英文摘要	In this paper, an algorithm based on local binary pattern (LBP) is proposed to obtain clear remote sensing images under the premise of unknown causes of blurring. We find that LBP can completely record the texture features of the images, which will not change widely due to the generation of blur. Therefore, LBP prior is proposed, which can filter out the pixels containing important textures in the blurry image through the mapping relationship. The corresponding processing methods are adopted for different types of pixels to cope with the challenges brought by the rich texture and details of remote sensing images and prevent over-sharpening. However, the existence of LBP prior increases the difficulty of solving the model. To solve the model, we construct the projected alternating minimization (PAM) algorithm that involves the construction of the mapping matrix, the fast iterative shrinkage-thresholding algorithm (FISTA) and the half-quadratic splitting method. Experiments with the AID dataset show that the proposed method can achieve highly competitive processing results for remote sensing images.
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[http://ir.ciomp.ac.cn/handle/181722/66444]
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	Z. Y. Zhang,L. L. Zheng,Y. J. Piao,et al. Blind Remote Sensing Image Deblurring Using Local Binary Pattern Prior[J]. Remote Sensing,2022,14(5):23.
APA	Z. Y. Zhang,L. L. Zheng,Y. J. Piao,S. P. Tao,W. Xu,&T. Gao and X. B. Wu.(2022).Blind Remote Sensing Image Deblurring Using Local Binary Pattern Prior.Remote Sensing,14(5),23.
MLA	Z. Y. Zhang,et al."Blind Remote Sensing Image Deblurring Using Local Binary Pattern Prior".Remote Sensing 14.5(2022):23.