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Paper Abstract and Keywords
Presentation 2018-03-19 15:10
A Multi-Exposure Image Fusion Scheme based on Automatic Exposure Compensation
Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya (Tokyo Metro. Univ.) EA2017-136 SIP2017-145 SP2017-119
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes a novel luminance adjustment method based on automatic exposure compensation for multi-exposure image fusion. Multi-exposure image fusion is a method to produce images without saturation
regions, by using photos with different exposures. In conventional works, it has been pointed out that the quality of those multi-exposure images can be improved by adjusting the luminance of them. However, how to determine the degree of adjustment has never been discussed. This paper therefore proposes a way to automatically determines the degree on the basis of the luminance distribution of input multi-exposure images. Moreover, new weights, called ``simple weights'', for image fusion are also considered for the proposed luminance adjustment method. Experimental results show that the multi-exposure images adjusted by the proposed method have better quality than the input multi-exposure ones in terms of the well-exposedness. For this reason, high quality images are produced by
fusing the adjusted ones. In addition, it is confirmed that the proposed simple weights provide the highest score of statistical naturalness and discrete entropy in all fusion methods.
Keyword (in Japanese) (See Japanese page) 
(in English) Multi-exposure fusion / Luminance adjustment / Image enhancement / Automatic exposure compensation / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 516, SIP2017-145, pp. 191-196, March 2018.
Paper # SIP2017-145 
Date of Issue 2018-03-12 (EA, SIP, SP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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 EA2017-136 SIP2017-145 SP2017-119

Conference Information
Committee SIP EA SP MI  
Conference Date 2018-03-19 - 2018-03-20 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) Speech, Engineering/Electro Acoustics, Signal Processing, and Related Topics [SIP, EA, SP]/ Medical Image Engineering, Analysis, Recognition, etc. [MI] 
Paper Information
Registration To SIP 
Conference Code 2018-03-SIP-EA-SP-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Multi-Exposure Image Fusion Scheme based on Automatic Exposure Compensation 
Sub Title (in English)  
Keyword(1) Multi-exposure fusion  
Keyword(2) Luminance adjustment  
Keyword(3) Image enhancement  
Keyword(4) Automatic exposure compensation  
1st Author's Name Yuma Kinoshita  
1st Author's Affiliation Tokyo Metropolitan University (Tokyo Metro. Univ.)
2nd Author's Name Sayaka Shiota  
2nd Author's Affiliation Tokyo Metropolitan University (Tokyo Metro. Univ.)
3rd Author's Name Hitoshi Kiya  
3rd Author's Affiliation Tokyo Metropolitan University (Tokyo Metro. Univ.)
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Speaker Author-1 
Date Time 2018-03-19 15:10:00 
Presentation Time 25 minutes 
Registration for SIP 
Paper # EA2017-136, SIP2017-145, SP2017-119 
Volume (vol) vol.117 
Number (no) no.515(EA), no.516(SIP), no.517(SP) 
Page pp.191-196 
Date of Issue 2018-03-12 (EA, SIP, SP) 

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