Open AccessA Novel Blind Motion Blur Restoration Algorithm for Text Images
Author(s) -
Wang Simin,
Li Xiaoguang,
Zhang Hui,
Zhuo Li
Publication year - 2020
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2019.12.001
Subject(s) - deblurring , artificial intelligence , motion blur , computer science , blind deconvolution , kernel (algebra) , computer vision , deconvolution , image restoration , motion (physics) , constraint (computer aided design) , algorithm , pattern recognition (psychology) , image (mathematics) , mathematics , image processing , geometry , combinatorics
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.