NDLI: A Novel Blind Motion Blur Restoration Algorithm for Text Images

Content Provider	IET Digital Library
Author	Wang, Simin Li, Xiaoguang Zhang, Hui Zhuo, Li
Abstract	Text images captured by the surveillance system or hand-hold cameras often suffer from motion blur due to the complex relative motion between the camera and the target during the exposure time. The accuracy of the kernel estimation and the effective priors for clear text images are two important keys in blind motion deblurring. A novel blind motion deblurring algorithm is proposed for text images in a complex scene. A criterion for selecting informative edges and an L 0 constraint are combined to improve the accuracy of the kernel estimation. Then, a fast non-blind deconvolution scheme is applied to accelerate the algorithm. Experimental results on text images show that the proposed method can achieve high-quality results with low computational complexity.
Starting Page	161
Ending Page	167
Page Count	7
ISSN	10224653
Volume Number	29
e-ISSN	20755597
Issue Number	Issue 1, Jan (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/cje/29/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/cje.2019.12.001
Journal	Chinese Journal of Electronics
Publisher Date	2020-01-01
Access Restriction	Open
Rights Holder	© Chinese Institute of Electronics
Subject Keyword	Blind Motion Blur Restoration Algorithm Blind Motion Deblurring Algorithm Clear Text Image Complex Relative Motion Computer Vision And Image Processing Technique Deconvolution Hand-hold Cameras Image Motion Analysis Image Restoration Interpolation And Function Approximation Iterative Method Kernel Estimation Nonblind Deconvolution Scheme Numerical Analysis Optical, Image And Video Signal Processing
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering

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