DocumentCode :
2782663
Title :
A new image restoration algorithm based on window roaming and RBF neural network
Author :
Zhang, Liwei ; Zhang, Yaping
Author_Institution :
Coll. of Autom., Harbin Eng. Univ., Harbin, China
fYear :
2011
fDate :
7-10 Aug. 2011
Firstpage :
2009
Lastpage :
2013
Abstract :
A new image restoration algorithm is put forward based on window roaming and RBF neural network. Image restoration model is got by the operating of the window roaming and training of RBF neural network and the establishment of corresponding relation between motion blurred image and clear image, which is concentrated on the motion blurred image. Finally, the prepared image is recovered according to the model. The motion blurred image can be recovered well with the new algorithm, and the recovery effect is more advantaged than the classical algorithms such as Wiener filtering and with small computation.
Keywords :
Wiener filters; image motion analysis; image restoration; learning (artificial intelligence); radial basis function networks; RBF neural network training; Wiener filtering; clear image; image restoration algorithm; motion blurred image; window roaming; Clustering algorithms; Fitting; Image restoration; Radial basis function networks; Signal to noise ratio; Training; Visual effects; Image restoration; RBF neural network; Window roaming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation (ICMA), 2011 International Conference on
Conference_Location :
Beijing
ISSN :
2152-7431
Print_ISBN :
978-1-4244-8113-2
Type :
conf
DOI :
10.1109/ICMA.2011.5986235
Filename :
5986235
Link To Document :
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