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Hopfield Neural Network based color image restoration

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2 Author(s)
Yunlong Wang ; Coll. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu ; Mei Xie

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.

Published in:
Communications, Circuits and Systems, 2008. ICCCAS 2008. International Conference on

Date of Conference: 25-27 May 2008

Page(s):
969 - 973
E-ISBN :
978-1-4244-2064-3
Print ISBN:
978-1-4244-2063-6
INSPEC Accession Number:
10368331
Conference Location :
Fujian
Digital Object Identifier :
10.1109/ICCCAS.2008.4657931
Product Type:
Conference Publications

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