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Paper Abstract and Keywords
Presentation 2017-06-29 13:45
Pseudo Multi-Exposure Image Fusion Based on a Single Image
Yuma Kinoshita (Tokyo Metro. Univ.), Taichi Yoshida (Nagaoka Univ. of Tech.), Sayaka Shiota, Hitoshi Kiya (Tokyo Metro. Univ.) IE2017-26
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes a novel pseudo multi-exposure image fusion based on a single image.Multi-exposure image fusion is a method to produce images without saturation regions, by using photos with different exposures.
However, it is difficult to take photos suited for the multi-exposure image fusion when we take a photo of dynamic scenes or photograph a video. In addition, the multi-exposure image fusion cannot be applied to existing single images or videos. The proposed method enables us to produce pseudo multi-exposure images from a single image. To produce multi-exposure images, the proposed method utilizes a relationship between exposure values and pixel values. The relationship is obtained by assuming that a digital camera has a linear response function. Moreover, it is shown that the use of a local contrast enhancement method allows us to produce pseudo multi-exposure images with higher quality. Most of conventional multi-exposure image fusion methods are also applicable to the pseudo multi-exposure images. Experimental results show the effectiveness of the proposed method by comparing the proposed one with conventional ones.
Keyword (in Japanese) (See Japanese page) 
(in English) Multi-Exposure Image Fusion / Image Enhancement / Contrast Enhancement / Tone Mapping / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 113, IE2017-26, pp. 7-12, June 2017.
Paper # IE2017-26 
Date of Issue 2017-06-22 (IE) 
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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF IE2017-26

Conference Information
Committee IE  
Conference Date 2017-06-29 - 2017-06-29 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image processing, coding, etc. 
Paper Information
Registration To IE 
Conference Code 2017-06-IE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Pseudo Multi-Exposure Image Fusion Based on a Single Image 
Sub Title (in English)  
Keyword(1) Multi-Exposure Image Fusion  
Keyword(2) Image Enhancement  
Keyword(3) Contrast Enhancement  
Keyword(4) Tone Mapping  
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1st Author's Name Yuma Kinoshita  
1st Author's Affiliation Tokyo Metropolitan University (Tokyo Metro. Univ.)
2nd Author's Name Taichi Yoshida  
2nd Author's Affiliation Nagaoka University of Technology (Nagaoka Univ. of Tech.)
3rd Author's Name Sayaka Shiota  
3rd Author's Affiliation Tokyo Metropolitan University (Tokyo Metro. Univ.)
4th Author's Name Hitoshi Kiya  
4th Author's Affiliation Tokyo Metropolitan University (Tokyo Metro. Univ.)
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Speaker
Date Time 2017-06-29 13:45:00 
Presentation Time 30 
Registration for IE 
Paper # IEICE-IE2017-26 
Volume (vol) IEICE-117 
Number (no) no.113 
Page pp.7-12 
#Pages IEICE-6 
Date of Issue IEICE-IE-2017-06-22 


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