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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
AP 2022-10-19
12:20		 Gifu GIFU CITY CULTURE CENTER
(Primary: On-site, Secondary: Online)		 [Poster Presentation] Evaluation of Digital-to-RF Upconversion Using Harmonic Images of DAC Output by Simulation
Sho Sarukawa, Hiroyuki Arai (Yokohama National Univ.) AP2022-124		 In this paper, we performed simulation of digital-to-RF upconversion using harmonic images of DAC output and evaluated t... [more] AP2022-124
pp.122-124
IMQ, HIP 2022-07-08
15:30		 Hokkaido Satellite Campus, Sapporo City University A Conversion Method from HDR Video to SDR Video Considering with Perceptual Performance
Jinyu Tang, Takashi Yamazoe, Kenji Sugiyama (Seikei Univ.) IMQ2022-9 HIP2022-40		 HDR (High Dynamic Range) video is possible to display the maximum 1200% luminance images in a HDR display. However, lumi... [more] IMQ2022-9 HIP2022-40
pp.27-30
HIP 2021-10-22
14:25		 Online Online Visually Fidelitous Dynamic-Range Compression from HDR Images -- Dependency of Individual on Perceived Time by Observing Images Reproduced with Global Tone Mapping Curves --
Yuichiro Orrita, Genta Higashi, Shoko Hira, Masayuki Kashima (Kagosima Univ.), Sakuichi Ohtsuka (International College of Technology, Kanazawa) HIP2021-46		 Three different Global-tone-mapping (i.e., CD, SN, and DR) were employed for reproducing SDR images for subjective evalu... [more] HIP2021-46
pp.87-92
MVE, IE, CQ, IMQ
(Joint) [detail]		 2017-03-06
10:50		 Fukuoka Kyusyu Univ. Ohashi Campus A Study on HDR Image Generation Method from an SDR Image Using Deep Neural Networks
Katsuhiko Hirao, Masaru Takeuchi, Jiro Katto (Waseda Univ.) IMQ2016-26 IE2016-141 MVE2016-49		 In this paper, we propose a deep learning method to generate an HDR image from a single SDR image with restoring over an... [more] IMQ2016-26 IE2016-141 MVE2016-49
pp.37-42
 Results 1 - 4 of 4  /   
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