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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
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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 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)  
Keyword(1) Deep Learning  
Keyword(2) HDR  
Keyword(3) 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
Date of Issue 2017-02-27 (IMQ, IE, MVE) 


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