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| Presentation | 2019-10-24 13:30 Construction of HDR Image Database with Subjective Evaluation Scores for Deep Learning Hirofumi Sasaki, Keita Hirai, Takahiko Horiuchi (Chiba Univ.)  EID2019-1 Link to ES Tech. Rep. Archives: EID2019-1 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | For displaying a high dynamic range (HDR) image on a standard monitor, it is necessary to apply a tone mapping method to an HDR image. Lots of tone mapping methods have been proposed. However, the appearance of tone-mapped images significantly depends on the concepts and algorithms of tone mapping methods. In particular, the method to provide the most preferable appearance has been still discussed yet, because the tone-mapped appearance depends on scene contents. In this paper, toward the development of the tone mapping method based on the deep learning, we constructed an HDR image database with subjective preferable tags. We also discussed the deep-learning-based tone mapping method using our HDR image database. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | High Dynamic Range Image Database / ，Tone Mapping， / Subjective Evaluation / Preference / Deep Learning / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 245, EID2019-1, pp. 5-8, Oct. 2019. | |
| Paper # | EID2019-1 | |
| Date of Issue | 2019-10-17 (EID) | |
| ISSN | Print edition: ISSN 0913-5685 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 | EID2019-1 Link to ES Tech. Rep. Archives: EID2019-1 |
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| Conference Information | |
| Committee | EID ITE-IDY ITE-HI ITE-3DMT IEE-OQD SID-JC |
| Conference Date | 2019-10-24 - 2019-10-24 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kikai-Shinko-Kaikan Bldg. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Imaging Technology |
| Paper Information | |
| Registration To | EID |
| Conference Code | 2019-10-EID-IDY-HI-3DIT-OQD-JC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Construction of HDR Image Database with Subjective Evaluation Scores for Deep Learning |
| Sub Title (in English) | |
| Keyword(1) | High Dynamic Range Image Database |
| Keyword(2) | ，Tone Mapping， |
| Keyword(3) | Subjective Evaluation |
| Keyword(4) | Preference |
| Keyword(5) | Deep Learning |
| Keyword(6) | |
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| Keyword(8) | |
| 1st Author's Name | Hirofumi Sasaki |
| 1st Author's Affiliation | Chiba University (Chiba Univ.) |
| 2nd Author's Name | Keita Hirai |
| 2nd Author's Affiliation | Chiba University (Chiba Univ.) |
| 3rd Author's Name | Takahiko Horiuchi |
| 3rd Author's Affiliation | Chiba University (Chiba Univ.) |
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| Speaker | Author-1 |
| Date Time | 2019-10-24 13:30:00 |
| Presentation Time | 30 minutes |
| Registration for | EID |
| Paper # | EID2019-1 |
| Volume (vol) | vol.119 |
| Number (no) | no.245 |
| Page | pp.5-8 |
| #Pages | 4 |
| Date of Issue | 2019-10-17 (EID) |
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