| Presentation | 1993/5/21 Halftone method using Hopfield neural network Akira Shiozaki, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A New halftone method using a Hopfield neural network is proposed.″White″ pixels and ″black″ pixels are arranged so that the difference between the average brightness of each local area of a continuous tone picture and that of a bilevel picture becomes minimum for all local areas.The neural network looks for the arrangement by solving the optimization problem. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Halftone method / Pseudo-gray level / Hopfield neural network / Neuralnet |
| Paper # | IE93-15 |
| Date of Issue |
| Conference Information | |
| Committee | IE |
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| Conference Date | 1993/5/21(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
| Secretary | |
| Assistant | |
| Paper Information | |
| Registration To | Image Engineering (IE) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Halftone method using Hopfield neural network |
| Sub Title (in English) | |
| Keyword(1) | Halftone method |
| Keyword(2) | Pseudo-gray level |
| Keyword(3) | Hopfield neural network |
| Keyword(4) | Neuralnet |
| 1st Author's Name | Akira Shiozaki |
| 1st Author's Affiliation | Faculty of Engineering,Osaka Electro-Communication University() |
| Date | 1993/5/21 |
| Paper # | IE93-15 |
| Volume (vol) | vol.93 |
| Number (no) | 55 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |