| Presentation | 2017-03-14 Hierarchical Lossless Image Coding using Inheritance of Predictor-Prototypes and Designing of CNN Predictors based on Estimate of Coding Bits Hideharu Toda, Tsuyoshi Otake, Ichiro Matsuda, Susumu Itoh, Hisashi Aomori, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We proposed a hierarchical lossless image coding method using cellular neural network (CNN). It performs adaptive multi symbol arithmetic coding based on context modeling to prediction error calculated from CNN predictor according to contour direction. In this paper, we propose a new CNN predictor design method for further efficiency improvement. By using the image pyramid structure in the hierarchical coding method, this method inherits the designed predictor as the initial value of the design when designing the predictor between adjacent layers. The effectiveness of this method was confirmed by coding experiments on various images, and clarified that it is especially effective for coding of natural images. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | discrete-time cellular neural network / predictor inheritance / hierachical lossless image coding |
| Paper # | NLP2016-109 |
| Date of Issue | 2017-03-07 (NLP) |
| Conference Information | |
| Committee | NLP |
|---|---|
| Conference Date | 2017/3/14(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Nebuta Museum Warasse |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Hisato Fujisaka(Hiroshima City Univ.) |
| Vice Chair | Masaharu Adachi(Tokyo Denki Univ.) |
| Secretary | Masaharu Adachi(Konan Univ.) |
| Assistant | Hiroyuki Asahara(Okayama Univ. of Science) / Toshihiro Tachibana(Shonan Inst. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Nonlinear Problems |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Hierarchical Lossless Image Coding using Inheritance of Predictor-Prototypes and Designing of CNN Predictors based on Estimate of Coding Bits |
| Sub Title (in English) | |
| Keyword(1) | discrete-time cellular neural network |
| Keyword(2) | predictor inheritance |
| Keyword(3) | hierachical lossless image coding |
| 1st Author's Name | Hideharu Toda |
| 1st Author's Affiliation | Chukyo University(Chukyo Univ.) |
| 2nd Author's Name | Tsuyoshi Otake |
| 2nd Author's Affiliation | Tamagawa University(Tamagawa Univ.) |
| 3rd Author's Name | Ichiro Matsuda |
| 3rd Author's Affiliation | Tokyo University of Science(TUS) |
| 4th Author's Name | Susumu Itoh |
| 4th Author's Affiliation | Tokyo University of Science(TUS) |
| 5th Author's Name | Hisashi Aomori |
| 5th Author's Affiliation | Chukyo University(Chukyo Univ.) |
| Date | 2017-03-14 |
| Paper # | NLP2016-109 |
| Volume (vol) | vol.116 |
| Number (no) | NLP-523 |
| Page | pp.pp.19-24(NLP), |
| #Pages | 6 |
| Date of Issue | 2017-03-07 (NLP) |