Presentation | 1994/9/3 Image Restoration Using Layered Neural Networks and Hopfield Networks Mitsuji Muneyasu, Kazunari Yamamoto, Takao Hinamoto, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | An algorithm is developed for the restoration of an image degraded by a known two-dimensional(2-D)shift-invariant point- spread function,and corrupted with white noise.A layered neural network and the Hopfield network are used for the edge detection, and the restoration and smoothing of a blurred image,respectively. In particular,A layered neural network is proposed for exact edge detection where the inputs consist of three pixel values and a local variance in a 2-D mask.This network can detect edges and suppress the noise in an image at the same time and its performance is adjusted by learning.Finally,some examples are given to illustrate the utility of the proposed algorithm. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | image restoration / Hopfield network / layered neural network / edge detection / reduction |
Paper # | CAS94-53 |
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Conference Information | |
Committee | CAS |
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Conference Date | 1994/9/3(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Circuits and Systems (CAS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Image Restoration Using Layered Neural Networks and Hopfield Networks |
Sub Title (in English) | |
Keyword(1) | image restoration |
Keyword(2) | Hopfield network |
Keyword(3) | layered neural network |
Keyword(4) | edge detection |
Keyword(5) | reduction |
1st Author's Name | Mitsuji Muneyasu |
1st Author's Affiliation | Faculty of Engineering,Hiroshima University() |
2nd Author's Name | Kazunari Yamamoto |
2nd Author's Affiliation | Faculty of Engineering,Hiroshima University |
3rd Author's Name | Takao Hinamoto |
3rd Author's Affiliation | Faculty of Engineering,Hiroshima University |
Date | 1994/9/3 |
Paper # | CAS94-53 |
Volume (vol) | vol.94 |
Number (no) | 214 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |