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Paper Abstract and Keywords
Presentation 2012-09-20 13:50
Data-Embedded-Reduction-Image Generation Method for High-Quality Image Enlargement
Hakaru Tamukoh (TUAT), Hideaki Kawano (KIT), Noriaki Suetake (Yamaguchi Univ.), Masatoshi Sekine (TUAT), Byungki Cha, Takashi Aso (KIIS) SIS2012-23
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes a data-embedded-reduction-image generation method which utilizes for high-quality image enlargement.
Generally, image enlargement is defined as a method to generate a high-resolution image from one or plural low-resolution images.
On the other hand, in this paper, we assume that a high-resolution image is available for the processing.
The proposed method embeds pixel's information, which is lost in the reduction process, into the reduction-image.
In the image enlargement process, the proposed method reads the embedded information then utilizes it to generate a high-resolution image.
An effectiveness of proposed method is verified by some experiments.
The results show that the proposed method achieves better performance than conventional methods when it uses 2 bits embedded data for each generated pixel.
Keyword (in Japanese) (See Japanese page) 
(in English) Data embedding / Image reduction / Image enlargement / / / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 207, SIS2012-23, pp. 41-46, Sept. 2012.
Paper # SIS2012-23 
Date of Issue 2012-09-13 (SIS) 
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)
Download PDF SIS2012-23

Conference Information
Committee SIS IPSJ-AVM  
Conference Date 2012-09-20 - 2012-09-21 
Place (in Japanese) (See Japanese page) 
Place (in English) Tottori Pref. Osaka Office 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SIS 
Conference Code 2012-09-SIS-AVM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Data-Embedded-Reduction-Image Generation Method for High-Quality Image Enlargement 
Sub Title (in English)  
Keyword(1) Data embedding  
Keyword(2) Image reduction  
Keyword(3) Image enlargement  
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1st Author's Name Hakaru Tamukoh  
1st Author's Affiliation Tokyo university of agricluture and techology (TUAT)
2nd Author's Name Hideaki Kawano  
2nd Author's Affiliation Kyushu Institute of Technology (KIT)
3rd Author's Name Noriaki Suetake  
3rd Author's Affiliation Yamaguchi University (Yamaguchi Univ.)
4th Author's Name Masatoshi Sekine  
4th Author's Affiliation Tokyo university of agricluture and techology (TUAT)
5th Author's Name Byungki Cha  
5th Author's Affiliation Kyushu Institute of Information Sciences (KIIS)
6th Author's Name Takashi Aso  
6th Author's Affiliation Kyushu Institute of Information Sciences (KIIS)
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Speaker Author-1 
Date Time 2012-09-20 13:50:00 
Presentation Time 20 minutes 
Registration for SIS 
Paper # SIS2012-23 
Volume (vol) vol.112 
Number (no) no.207 
Page pp.41-46 
#Pages 6 
Date of Issue 2012-09-13 (SIS) 

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