| Presentation | 2019-10-24 Construction of HDR Image Database with Subjective Evaluation Scores for Deep Learning Hirofumi Sasaki, Keita Hirai, Takahiko Horiuchi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | High Dynamic Range Image Database / ，Tone Mapping， / Subjective Evaluation / Preference / Deep Learning |
| Paper # | EID2019-1 |
| Date of Issue | 2019-10-17 (EID) |
| Conference Information | |
| Committee | EID / ITE-IDY / ITE-HI / ITE-3DIT / IEE-OQD / SID-JC |
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| Conference Date | 2019/10/24(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kikai-Shinko-Kaikan Bldg. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Imaging Technology |
| Chair | Rumiko Yamaguchi(Akita Univ.) / Munehiro Kimura(Nagaoka Univ. of Tech.) / Takehiro Nagai(Yamagata Univ.) / Tsutomu Horikoshi(Shonan Institute of Technology) |
| Vice Chair | Masahiro Yamaguchi(Tokyo Inst. of Tech.) / Hiroyuki Nitta(Japan Display) / Toshimitsu Tsuzuki(NHK) |
| Secretary | Masahiro Yamaguchi(NTT) / Hiroyuki Nitta(NHK) / Toshimitsu Tsuzuki(JOLED) |
| Assistant | Mutsumi Kimura(Ryukoku Univ.) / Tomokazu Shiga(Univ. of Electro-Comm.) / Takeshi Okuno(Huawei) / Hiroko Kominami(Shizuoka Univ.) / Masanobu Mizusaki(SHARP) / Masayuki Kanbara(NAIST) |
| Paper Information | |
| Registration To | Technical Committee on Electronic Information Displays / Technical Group on Information Display / Technical Group on Human Inormation / Technical Group on Three-Dimensional Image Technology / * / Society for Informtion Display Japan Chapter |
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| Language | JPN |
| 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 |
| 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.) |
| Date | 2019-10-24 |
| Paper # | EID2019-1 |
| Volume (vol) | vol.119 |
| Number (no) | EID-245 |
| Page | pp.pp.5-8(EID), |
| #Pages | 4 |
| Date of Issue | 2019-10-17 (EID) |