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 :
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