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Paper Abstract and Keywords
Presentation 2017-03-06 10:25
An improvement in over-exposure detection using HSV color model for Automatic HDR Hallucination
Yusuke Sakamoto, Masaru Takeuchi, Jiro Katto (Waseda Univ.) IMQ2016-25 IE2016-140 MVE2016-48
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose an improved method for Automatic HDR Hallucination method. There are many LDR images though technologies for HDR images have been evolved. The Automatic HDR Hallucination method generates a HDR image from one LDR input image with reconstruction of textures lost by over-exposure. However, this method can generate "false" textures which do not exist in the original image because it judges over-exposure areas by luminance only. To solve this problem, we propose a method which judges over-exposure areas more accurately by using HSV color space. Results of experiment suggest that our method can judge over-exposure areas more accurately than the previous method.
Keyword (in Japanese) (See Japanese page) 
(in English) Automatic HDR Hallucination / Inverse Tone Mapping / HSV color space / HDR images / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 495, IE2016-140, pp. 31-36, March 2017.
Paper # IE2016-140 
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 IMQ2016-25 IE2016-140 MVE2016-48

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) An improvement in over-exposure detection using HSV color model for Automatic HDR Hallucination 
Sub Title (in English)  
Keyword(1) Automatic HDR Hallucination  
Keyword(2) Inverse Tone Mapping  
Keyword(3) HSV color space  
Keyword(4) HDR images  
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Keyword(6)  
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1st Author's Name Yusuke Sakamoto  
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 10:25:00 
Presentation Time 25 minutes 
Registration for IE 
Paper # IMQ2016-25, IE2016-140, MVE2016-48 
Volume (vol) vol.116 
Number (no) no.494(IMQ), no.495(IE), no.496(MVE) 
Page pp.31-36 
#Pages
Date of Issue 2017-02-27 (IMQ, IE, MVE) 


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