Title :
CNN Template Design Method Based on GQA
Author :
Meng, Hongling ; Zhao, Jianye
Author_Institution :
Dept. of Electron., Peking Univ., Beijing
Abstract :
In this paper, a new quantum algorithm for cellular neural network (CNN) template design is proposed. The similarities between CNN and Gibbs image model (GIM) are described, so image processing could be regarded as an optimization question, and quantum computing is utilized for seeking global minimum. This approach is valid to many questions that could be processed with GIM, such as restoration. Simulations of an example (image restoration) are shown in order to validate effectiveness of new approach
Keywords :
cellular neural nets; genetic algorithms; image restoration; quantum computing; quantum theory; Gibbs image model; cellular neural network; genetic quantum algorithm; image processing; image restoration; quantum computing; template design; Algorithm design and analysis; Cellular networks; Cellular neural networks; Computational modeling; Design methodology; Image processing; Image restoration; Neural networks; Quantum computing; Robustness;
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
DOI :
10.1109/ICNNB.2005.1614774
