DocumentCode
1335067
Title
Texture-Preserving Image Deblurring
Author
Chen, Fen ; Huang, Xiaojun ; Chen, Wufan
Author_Institution
Sch. of Autom., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Volume
17
Issue
12
fYear
2010
Firstpage
1018
Lastpage
1021
Abstract
In this letter, a two-step texture-preserving image deblurring method is proposed. This method restores the blurred image in the frequency domain to obtain a noisy result with minimal loss of signal components, followed by a modified non-local means (NLM) filter to attenuate the leaked colored noise. This modified NLM filter computes the weights not only using the self-similarity of the neighbors, but also on spatial distance from the pixel in question. Experimental results demonstrate that the proposed algorithm can effectively obtain a visually pleasant texture-preserving result with compared to the state-of-the-art total variation method.
Keywords
filtering theory; frequency-domain analysis; image colour analysis; image restoration; image texture; NLM filter; frequency domain; image restoration; leaked colored noise; nonlocal means filter; state-of-the-art total variation method; texture-preserving image deblurring; Image restoration; Noise measurement; Noise reduction; PSNR; Image deblurring; non-local means filter; texture-preserving;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2010.2078807
Filename
5585714
Link To Document