Paper Abstract and Keywords |
Presentation |
2017-03-06 10:50
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 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper, we propose a deep learning method to generate an HDR image from a single SDR image with restoring over and under exposed regions. Firstly, as a preliminary experiment, we regard SDR images as pseudo HDR images, linearly reduce their dynamic ranges as pseudo SDR images, and then train DNN (Deep Neural Network) to generate the end-to-end mapping from pseudo SDR images to pseudo HDR images. Thereafter we show the effectivity of our method by PSNR evaluation. Secondly, as a main experiment, we generate SDR images from HDR images using tone mapping, then try to generate an HDR image from an SDR image using DNN. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Deep Learning / HDR / SDR / Image Restoration / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 116, no. 495, IE2016-141, pp. 37-42, March 2017. |
Paper # |
IE2016-141 |
Date of Issue |
2017-02-27 (IMQ, IE, MVE) |
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) |
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IMQ2016-26 IE2016-141 MVE2016-49 |
Conference Information |
Committee |
MVE IE CQ IMQ |
Conference Date |
2017-03-06 - 2017-03-07 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Kyusyu Univ. Ohashi Campus |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Five senses media, Multimedia, Virtual Environment, Image encoding, Ultra realistic, Network quality and reliability, Image media quality, etc. |
Paper Information |
Registration To |
IE |
Conference Code |
2017-03-MVE-IE-CQ-IMQ |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Study on HDR Image Generation Method from an SDR Image Using Deep Neural Networks |
Sub Title (in English) |
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Keyword(1) |
Deep Learning |
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HDR |
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SDR |
Keyword(4) |
Image Restoration |
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1st Author's Name |
Katsuhiko Hirao |
1st Author's Affiliation |
Waseda University (Waseda Univ.) |
2nd Author's Name |
Masaru Takeuchi |
2nd Author's Affiliation |
Waseda University (Waseda Univ.) |
3rd Author's Name |
Jiro Katto |
3rd Author's Affiliation |
Waseda University (Waseda Univ.) |
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Speaker |
Author-1 |
Date Time |
2017-03-06 10:50:00 |
Presentation Time |
25 minutes |
Registration for |
IE |
Paper # |
IMQ2016-26, IE2016-141, MVE2016-49 |
Volume (vol) |
vol.116 |
Number (no) |
no.494(IMQ), no.495(IE), no.496(MVE) |
Page |
pp.37-42 |
#Pages |
6 |
Date of Issue |
2017-02-27 (IMQ, IE, MVE) |
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