DocumentCode :
3431493
Title :
A modified Hopfield neural network used in bilevel image restoration and reconstruction
Author :
Sun, Yi ; Yu, Song-Yu
Author_Institution :
Inst. of Image Process. & Pattern Recognition, Shanghai Jiao Tong Univ., China
fYear :
1992
fDate :
16-20 Nov 1992
Firstpage :
1412
Abstract :
A group of threshold update algorithms with respect to simultaneous, partially simultaneous and sequential update modes is given. The network with these algorithms is asymptotically stable. The upper bounds of residuals of the convergent solutions are presented. Simulation results are shown
Keywords :
Hopfield neural nets; image reconstruction; bilevel image reconstruction; bilevel image restoration; convergent solutions; modified Hopfield neural network; residuals; threshold update algorithms; Error correction; Hopfield neural networks; Image converters; Image processing; Image reconstruction; Image restoration; Intelligent networks; Neurons; Sun; Upper bound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Singapore ICCS/ISITA '92. 'Communications on the Move'
Print_ISBN :
0-7803-0803-4
Type :
conf
DOI :
10.1109/ICCS.1992.255025
Filename :
255025
Link To Document :
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