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