DocumentCode
3194878
Title
Hopfield Neural Network based color image restoration
Author
Wang, Yunlong ; Xie, Mei
Author_Institution
Coll. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu
fYear
2008
fDate
25-27 May 2008
Firstpage
969
Lastpage
973
Abstract
In this paper, Hopfield neural network (HNN) method for restoring color images is presented. Firstly, we describe the general restoration method of gray-level image. Secondly, Hopfield neural network technique for restoring of monochromatic images is analyzed. Then, the color images are modeled as three spatially monochromatic images or channels, and the HNN based algorithm is introduced to restore color images. Finally, this algorithm is applied to the image blur model, and the result is analyzed and compared to Wiener filter.
Keywords
Hopfield neural nets; image colour analysis; image restoration; Hopfield neural network; color image restoration; gray-level image; image blur model; monochromatic image restoration; Color; Degradation; Educational institutions; Filtering; Hopfield neural networks; Image analysis; Image restoration; Matrix converters; Pixel; Wiener filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, Circuits and Systems, 2008. ICCCAS 2008. International Conference on
Conference_Location
Fujian
Print_ISBN
978-1-4244-2063-6
Electronic_ISBN
978-1-4244-2064-3
Type
conf
DOI
10.1109/ICCCAS.2008.4657931
Filename
4657931
Link To Document