A Novel Blind Motion Blur Restoration Algorithm for Text Images. Issue 1 (1st January 2020)

• Record Type: Journal Article
• Authors: Wang, Simin; Li, Xiaoguang; Zhang, Hui; Zhuo, Li
• Is Part Of: Chinese journal of electronics. Volume 29:Issue 1(2020)
• Page Start: 161
• Page End: 167
• Publication Date: 2020-01-01
• Subjects: Text image deblurring -- Informative edges selection -- L0‐Regularized prior -- Blind motion restoration; deconvolution -- image motion analysis -- image restoration -- iterative methods; hand‐hold cameras -- complex relative motion -- kernel estimation -- clear text images -- blind motion deblurring algorithm -- nonblind deconvolution scheme -- blind motion blur restoration algorithm; Electronics -- Periodicals; Electronics -- China -- Periodicals; Electronics; China; Periodicals; 621.38105
• DOI: 10.1049/cje.2019.12.001
• Languages: English
• ISSNs: 1022-4653

Abstract

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.