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A New Approach for Image Restoration Based on CNN Processor

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Advances in Neural Networks – ISNN 2007 (ISNN 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4493))

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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.

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Author information

Authors and Affiliations

  1. Department of Electronics, Peking University, 100871 Beijing, China

    Jianye Zhao, Quansheng Ren, Jian Wang & Hongling Meng

Authors
  1. Jianye Zhao
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  2. Quansheng Ren
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  3. Jian Wang
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  4. Hongling Meng
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Editor information

Derong Liu Shumin Fei Zengguang Hou Huaguang Zhang Changyin Sun

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© 2007 Springer Berlin Heidelberg

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Zhao, J., Ren, Q., Wang, J., Meng, H. (2007). A New Approach for Image Restoration Based on CNN Processor. In: Liu, D., Fei, S., Hou, Z., Zhang, H., Sun, C. (eds) Advances in Neural Networks – ISNN 2007. ISNN 2007. Lecture Notes in Computer Science, vol 4493. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72395-0_100

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  • DOI: https://doi.org/10.1007/978-3-540-72395-0_100

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72394-3

  • Online ISBN: 978-3-540-72395-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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