Title :
Binary image restoration using neural network models
Author :
Xiao Su ; Tao Wang ; Xiaoliang Xing
Author_Institution :
Dept. of Comput. Sci. & Eng., Zhejiang Univ., Hangzhou, China
Abstract :
We apply the mean field theory (MFT) neural network approach to the problem of binary image restoration. The MFT works extremely fast by using a deterministic equation in place of the stochastic relaxation characterized by the simulated annealing strategy. Some experimental results are recorded.<>
Keywords :
image reconstruction; neural nets; MFT neural network approach; binary image restoration; deterministic equation; mean field theory; neural network models; simulated annealing strategy; stochastic relaxation; Computational modeling; Computer science; Energy states; Equations; Image restoration; Neural networks; Neurons; Pixel; Simulated annealing; Stochastic processes;
Conference_Titel :
TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on
Conference_Location :
Beijing, China
Print_ISBN :
0-7803-1233-3
DOI :
10.1109/TENCON.1993.320159
