A New Approach for Image Restoration Based on CNN Processor

Authors:
Jianye Zhao;Quansheng Ren;Jian Wang;Hongling Meng
Affiliations:
Department of Electronics, Peking University, 100871 Beijing, China;Department of Electronics, Peking University, 100871 Beijing, China;Department of Electronics, Peking University, 100871 Beijing, China;Department of Electronics, Peking University, 100871 Beijing, China
Venue:
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
Year:
2007

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IEEE Transactions on Pattern Analysis and Machine Intelligence

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Abstract

A new approach for maximum posterior probability (MAP) image restoration based on cellular neural network (CNN) is proposed in this paper, and hardware realization is also discussed. According to analysis of MAP image restoration, a new template is proposed for CNN image restoration. The computer simulation result proves the approach is reasonable, then a hardware system based on CNN processor is setup for the restoration algorithm, and the effectiveness of the CNN processor is also confirmed in this system.