| Presentation | 2007-04-25 Image Resolution compression based on Retina Model using DT-CNN Yoshiei TANAKA, Hisashi AOMORI, Tsuyoshi OTAKE, Nobuaki TAKAHASHI, Mamoru TANAKA, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, image resolution compression based on retina model using DT-CNN is proposed. By using sigma-delta modulator by CNN, the input image can be converted into digital pulse sequences, and the image can be reconstructed. Human has 100 million retinal cells or more, and the input signal via the retina is sent to the cerebrum visual field. The signal from there is transmitted to the cerebrum visual field through the optic nerve fiber of about one million. In a word, the resolution of input image is compressed, and converted into binary digital purse sequences in the system from the retina to the cerebrum visual field. These binary digital pulse sequences are sent to the cerebrum visual field. The transmitted binary digital pulse sequences are reconstructed in the brain finally. That is, a model from the retina to the cerebrum can be achieved by using CNN. The experimental results show that a good quality reconstruction resolution compressed image was able to be obtained, and the image resolution compression by CNN based on the retina model was able to be achieved. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Retina model / Cellular Neural Network / Resolution compression |
| Paper # | NLP2007-4 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 2007/4/18(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 | Nonlinear Problems (NLP) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Image Resolution compression based on Retina Model using DT-CNN |
| Sub Title (in English) | |
| Keyword(1) | Retina model |
| Keyword(2) | Cellular Neural Network |
| Keyword(3) | Resolution compression |
| 1st Author's Name | Yoshiei TANAKA |
| 1st Author's Affiliation | Department of Electrical and Electronics Engineering, Sophia University() |
| 2nd Author's Name | Hisashi AOMORI |
| 2nd Author's Affiliation | Department of Electrical and Electronics Engineering, Sophia University |
| 3rd Author's Name | Tsuyoshi OTAKE |
| 3rd Author's Affiliation | Department of Media-Network Science, Tamagawa University |
| 4th Author's Name | Nobuaki TAKAHASHI |
| 4th Author's Affiliation | IBM Engineering & Technology Services, IBM Japan, Ltd. |
| 5th Author's Name | Mamoru TANAKA |
| 5th Author's Affiliation | Department of Electrical and Electronics Engineering, Sophia University |
| Date | 2007-04-25 |
| Paper # | NLP2007-4 |
| Volume (vol) | vol.107 |
| Number (no) | 21 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |