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