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