NDLI: Hybrid Regularized Blur Kernel Estimation for Single-Image Blind Deconvolution

Content Provider	IEEE Xplore Digital Library
Author	Liu, R.W. Di Wu Chuan-Sheng Wu Naixue Xiong
Copyright Year	2015
Description	Author affiliation: Eng. Res. Center of Opt. Instrum. & Syst., Univ. of Shanghai for Sci. & Technol., Shanghai, China (Naixue Xiong) \|\| Sch. of Navig., Wuhan Univ. of Technol., Wuhan, China (Liu, R.W.) \|\| Dept. of Math., Wuhan Univ. of Technol., Wuhan, China (Chuan-Sheng Wu) \|\| Sch. of Comput., Wuhan Univ., Wuhan, China (Di Wu)
Abstract	Single-image blind deconvolution is a challenging illposed inverse problem which requires regularization techniques to stabilize the restoration process. Its purpose is to recover an underlying blur kernel and a latent image from only one blurred image. In most imaging situations, the blur kernel is not only spatially sparse, but also piecewise smooth with the support of a continuous curve. Thus this paper proposes a hybrid regularized method to robustly estimate the blur kernel by incorporating both L1-norm of kernel intensity and squared L2- norm of intensity derivative. Once the blur kernel is estimated, a total generalized variation based image restoration model is developed to guarantee robust non-blind image deconvolution. All optimization problems related to blur kernel estimation and non-blind deconvolution in this paper will be efficiently solved using fast numerical algorithms. Numerous experiments have been conducted to compare our proposed method with some state-of-the-art blind deconvolution methods on both synthetic and real-world datasets. The experimental results have illustrated the effectiveness of our proposed method in terms of quantitative and qualitative image quality evaluations.
Starting Page	1815
Ending Page	1820
File Size	800894
Page Count	6
File Format	PDF
e-ISBN	9781479986972
DOI	10.1109/SMC.2015.318
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-09
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Kernel Estimation Deconvolution Image restoration Optimization Image edge detection Imaging alternating direction method of multipliers Blind deconvolution image restoration total generalized variation primal-dual method
Content Type	Text
Resource Type	Article

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