| Presentation | 2014-02-18 The optimum frequency band partition in correspond with coding rate based on similarity of signal distribution Haruhiko MIYAZAKI, Masashi KAMEDA, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In order to improve the coding performance of subband image coding, the optimum frequency band partition has been proposed. This method achieves higher coding efficiency by dividing the 2-dimensional frequency domain into some subbands according to the similarity of signal distribution. This paper presents new parameter which is called the cumulative error, to evaluate the similarity of signal distribution, and the optimum frequency band partition and the optimum combination of quantizers within subbands corresponding to the coding rate are obtained using the cumulative error. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Subband Image Coding / Optimum Frequency Band Partition / Signal Distribution / Generalized Gaussian Distribution / Clustering |
| Paper # | ITS2013-58,IE2013-123 |
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| Conference Information | |
| Committee | IE |
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| Conference Date | 2014/2/10(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 | 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) | The optimum frequency band partition in correspond with coding rate based on similarity of signal distribution |
| Sub Title (in English) | |
| Keyword(1) | Subband Image Coding |
| Keyword(2) | Optimum Frequency Band Partition |
| Keyword(3) | Signal Distribution |
| Keyword(4) | Generalized Gaussian Distribution |
| Keyword(5) | Clustering |
| 1st Author's Name | Haruhiko MIYAZAKI |
| 1st Author's Affiliation | Graduate School of Software and Information Science, Iwate Prefectural University() |
| 2nd Author's Name | Masashi KAMEDA |
| 2nd Author's Affiliation | Graduate School of Software and Information Science, Iwate Prefectural University |
| Date | 2014-02-18 |
| Paper # | ITS2013-58,IE2013-123 |
| Volume (vol) | vol.113 |
| Number (no) | 434 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |