Blind restoration for nonuniform aerial images using nonlocal Retinex   model and shearlet-based higher-order regularization

doi:10.1117/1.JEI.26.3.033016

CORC > 北京大学 > 信息科学技术学院

	Blind restoration for nonuniform aerial images using nonlocal Retinex model and shearlet-based higher-order regularization
	Chen, Rui ; Jia, Huizhu ; Xie, Xiaodong ; Gao, Wen
刊名	JOURNAL OF ELECTRONIC IMAGING
	2017
关键词	blind restoration nonuniform illumination correction nonlocal Retinex discrete nonseparable shearlet transform total generalized variation PRESERVING REGULARIZATION ATMOSPHERIC-TURBULENCE SPARSE REPRESENTATION SINGLE IMAGE DECONVOLUTION ALGORITHMS RECOVERY
DOI	10.1117/1.JEI.26.3.033016
英文摘要	Aerial images are often degraded by space-varying motion blurs and simultaneous uneven illumination. To recover a high-quality aerial image from its nonuniform version, we propose a patchwise restoration approach based on a key observation that the degree of blurring is inevitably affected by the illumination conditions. A nonlocal Retinex model is developed to accurately estimate the reflectance component from the degraded aerial image. Thereafter, the uneven illumination is corrected well. Then nonuniform coupled blurring in the enhanced reflectance image is alleviated and transformed toward uniform distribution, which will facilitate the subsequent deblurring. For constructing the multiscale sparsified regularization, the discrete shearlet transform is improved to better represent anisotropic image features in terms of directional sensitivity and selectivity. In addition, a new adaptive variant of total generalized variation is proposed to act as the structure-preserving regularizer. These complementary regularizers are elegantly integrated into an objective function. The final deblurred image with uniform illumination can be obtained by applying a fast alternating direction scheme to solve the derived function. The experimental results demonstrate that our algorithm can not only effectively remove both the space-varying illumination and motion blurs in aerial images, but also recover the abundant details of aerial scenes with top-level objective and subjective quality, and outperforms other state-of-the-art restoration methods. (C) 2017 SPIE and IS&T; Major National Scientific Instrument and Equipment Development Project of China [2013YQ030967]; SCI(E); ARTICLE; 3; 26
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/473534]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Chen, Rui,Jia, Huizhu,Xie, Xiaodong,et al. Blind restoration for nonuniform aerial images using nonlocal Retinex model and shearlet-based higher-order regularization[J]. JOURNAL OF ELECTRONIC IMAGING,2017.
APA	Chen, Rui,Jia, Huizhu,Xie, Xiaodong,&Gao, Wen.(2017).Blind restoration for nonuniform aerial images using nonlocal Retinex model and shearlet-based higher-order regularization.JOURNAL OF ELECTRONIC IMAGING.
MLA	Chen, Rui,et al."Blind restoration for nonuniform aerial images using nonlocal Retinex model and shearlet-based higher-order regularization".JOURNAL OF ELECTRONIC IMAGING (2017).