DocumentCode :
460412
Title :
Variational Image Deblurring Using Modified Hopfield Neural Network
Author :
Hongying, Zhang ; Qicong, PENG ; Yadong, Wu
Author_Institution :
Sch. of Commun. & Inf. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu
Volume :
1
fYear :
2006
fDate :
25-28 June 2006
Firstpage :
429
Lastpage :
432
Abstract :
We address the problem of variational image restoration by neural network in this paper. A variational image deblurring algorithm based on modified Hopfield neural network (MHNN) is proposed. Then we analyze the convergence of the deblurring algorithm and give a strategy to guarantee the algorithm to converge stable state. Comparative experimental results show that the proposed algorithm is favorable to other related algorithms
Keywords :
Hopfield neural nets; image restoration; MHNN; image deblurring algorithm; image restoration; modified Hopfield neural network; Algorithm design and analysis; Computer science; Hopfield neural networks; Image converters; Image processing; Image restoration; Neural networks; Parallel processing; Partial differential equations; TV;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Circuits and Systems Proceedings, 2006 International Conference on
Conference_Location :
Guilin
Print_ISBN :
0-7803-9584-0
Electronic_ISBN :
0-7803-9585-9
Type :
conf
DOI :
10.1109/ICCCAS.2006.284669
Filename :
4063913
Link To Document :
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