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| Presentation | 2023-02-21 11:10 [Special Talk] Study of Probability Modeling for Lossless Image Coding Using Example Search and Adaptive Prediction Hiroki Kojima (KDDI), Yasuyo Kita, Ichiro Matsuda (Tokyo Univ. of Science)  ITS2022-46 IE2022-63 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Many efficient lossless image coding methods predict the next pel value to be coded from the pels already coded, and remove the spatial redundancy of the image signal by subtracting the predicted value from the pel value. After removing the redundancy, the prediction residual is entropy coded using a single-peak probability distribution that has a peak near 0. With this technique, it is expected that the coding efficiency will deteriorate at pels that are difficult to model with a unimodal distribution, such as edges where multiple pel values occur with equal probability. Therefore, we developed a method that directly entropy coding the pel value using a multi-peak probability distribution without converting the original image into a prediction residual. This method models the probability distribution for each pel based on image information collected by processing such as template matching and adaptive prediction in the encoded region, and achieves better coding efficiency than conventional methods by optimizing the parameters that control the shape of the distribution. In this talk, we will report on techniques that further improve the coding efficiency and reduce computational complexity by devising the definition of probability models and the optimization procedure of parameters. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Lossless image coding / Example search / Adaptive prediction / Probability model optimization / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 385, IE2022-63, pp. 25-25, Feb. 2023. | |
| Paper # | IE2022-63 | |
| Date of Issue | 2023-02-14 (ITS, IE) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | ITS2022-46 IE2022-63 |
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| Conference Information | |
| Committee | IE ITS ITE-MMS ITE-ME ITE-AIT |
| Conference Date | 2023-02-21 - 2023-02-22 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hokkaido Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Image Processing, etc. |
| Paper Information | |
| Registration To | IE |
| Conference Code | 2023-02-IE-ITS-MMS-ME-AIT |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Study of Probability Modeling for Lossless Image Coding Using Example Search and Adaptive Prediction |
| Sub Title (in English) | |
| Keyword(1) | Lossless image coding |
| Keyword(2) | Example search |
| Keyword(3) | Adaptive prediction |
| Keyword(4) | Probability model optimization |
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| 1st Author's Name | Hiroki Kojima |
| 1st Author's Affiliation | KDDI CORPORATION (KDDI) |
| 2nd Author's Name | Yasuyo Kita |
| 2nd Author's Affiliation | Tokyo University of Science (Tokyo Univ. of Science) |
| 3rd Author's Name | Ichiro Matsuda |
| 3rd Author's Affiliation | Tokyo University of Science (Tokyo Univ. of Science) |
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| Speaker | Author-1 |
| Date Time | 2023-02-21 11:10:00 |
| Presentation Time | 40 minutes |
| Registration for | IE |
| Paper # | ITS2022-46, IE2022-63 |
| Volume (vol) | vol.122 |
| Number (no) | no.384(ITS), no.385(IE) |
| Page | p.25 |
| #Pages | 1 |
| Date of Issue | 2023-02-14 (ITS, IE) |
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