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. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Zhao, J., Ren, Q., Wang, J., & Meng, H. (2007). A new approach for image restoration based on CNN processor. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4493 LNCS, pp. 821–827). Springer Verlag. https://doi.org/10.1007/978-3-540-72395-0_100
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