DocumentCode :
3523159
Title :
Blind deconvolution of blurred image by iterative algorithm
Author :
Takahashi, Tohru ; Takajo, Hiroaki
Author_Institution :
Oita Nat. Coll. of Technol., Japan
fYear :
2003
fDate :
14-17 Dec. 2003
Firstpage :
514
Lastpage :
517
Abstract :
We propose a blind deconvolution method based on the minimization of a cost function and the projection of an image onto the image space satisfying nonnegativity constraint and/or support constraint. These minimization and projection procedures are used iteratively in this method. The basic concept of this method and the constructed algorithm are shown in this paper. In computer simulation results, it is shown that the cost function decreased monotonically. This stable property was seen even when the support constraint was not used. However, this algorithm needs a lot of iterations for the convergence to the true image to be retrieved, and is sometimes suffered from the stagnation problem. A method to overcome this stagnation problem is also shown.
Keywords :
deconvolution; image processing; iterative methods; minimisation; blind deconvolution; blurred image; cost function; iterative algorithm; stagnation problem; Computer simulation; Convergence; Convolution; Cost function; Deconvolution; Fourier transforms; Image retrieval; Iterative algorithms; Minimization methods; Space technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Information Technology, 2003. ISSPIT 2003. Proceedings of the 3rd IEEE International Symposium on
Print_ISBN :
0-7803-8292-7
Type :
conf
DOI :
10.1109/ISSPIT.2003.1341171
Filename :
1341171
Link To Document :
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