DocumentCode :
594756
Title :
Robust kernel estimation for single image blind deconvolution
Author :
Fang Wang ; Yi Li
Author_Institution :
Nanjing Univ. of Sci. & Technol., Nanjing, China
fYear :
2012
fDate :
11-15 Nov. 2012
Firstpage :
481
Lastpage :
484
Abstract :
Most of the state-of-the-art algorithms of restoring single blurred image are sensitive to image noise and artifacts. Our idea is to learn an adaptive filter for blind deconvolution to remedy this problem. We use this auxiliary filter to progressively suppress image noise in early stage of kernel estimation, leading to a robust kernel estimation algorithm. Our approach can naturally handle image noise and improve performance of single image blind deconvolution. Experiments suggest that our approach is more robust than other methods in restoration of blurred images.
Keywords :
adaptive filters; deconvolution; estimation theory; image denoising; image restoration; performance evaluation; adaptive filter; image artifacts; image noise handling; image noise sensitivity; image noise suppression; performance improvement; robust kernel estimation algorithm; single blurred image restoration; single image blind deconvolution; Deconvolution; Estimation; Image restoration; Kernel; Noise; Noise measurement; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location :
Tsukuba
ISSN :
1051-4651
Print_ISBN :
978-1-4673-2216-4
Type :
conf
Filename :
6460176
Link To Document :
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