Title :
Image restoration with a neural network
Author :
Kurimoto, Masami ; Kawa, Seiji ; Ishii, Ryo
Author_Institution :
Fac. of Eng., Yokohama Nat. Univ., Japan
Abstract :
The authors propose an image restoration algorithm by which the sharpness of blurred images can be restored. The restoration algorithm can be applied when characteristics of the degrading system are unknown. A neural network is used as a kind of nonlinear filter. This restoration algorithm was implemented with a neural network. This neural network has a layered structure, and values of connection weights are obtained by training with the backpropagation algorithm. Simulation results show that blurred images can be restored by using this algorithm
Keywords :
backpropagation; image reconstruction; learning (artificial intelligence); neural nets; backpropagation algorithm; blurred images sharpness restoration; image restoration algorithm; neural network; nonlinear filter; training; Degradation; Frequency; Image restoration; Low pass filters; Neural networks; Signal processing; Signal restoration;
Conference_Titel :
Industrial Electronics, Control, Instrumentation, and Automation, 1992. Power Electronics and Motion Control., Proceedings of the 1992 International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0582-5
DOI :
10.1109/IECON.1992.254462
