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Paper Abstract and Keywords
Presentation 2012-11-07 15:30
Bayesian image super-resolution of large image with a compound MRF and estimating registration parameters
Toshiki Kinoshita, Seiji Miyoshi (Kansai Univ.) IBISML2012-35
Abstract (in Japanese) (See Japanese page) 
(in English) Super-resolution is a technique to estimate a higher resolution image from low-resolution images. In this manuscript, we first conduct processing large images in Bayesian super-resolution using latent variables of the line process by Kanemura et al. It is shown that we can obtain good results for a large image. Second, we propose a method of estimating registration parameters from any area of images. Previously, we estimated registration parameters from center area of images. This change allowed good estimation of registration parameters by using area which has a large change of pixel values.
Keyword (in Japanese) (See Japanese page) 
(in English) super-resolution / compound Markov random field prior / Bayesian inference / variational EM algorithm / / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 279, IBISML2012-35, pp. 9-16, Nov. 2012.
Paper # IBISML2012-35 
Date of Issue 2012-10-31 (IBISML) 
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)
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Conference Information
Committee IBISML  
Conference Date 2012-11-07 - 2012-11-09 
Place (in Japanese) (See Japanese page) 
Place (in English) Bunkyo School Building, Tokyo Campus, Tsukuba Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) the 15th Information-Based Induction Sciences Workshop 
Paper Information
Registration To IBISML 
Conference Code 2012-11-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Bayesian image super-resolution of large image with a compound MRF and estimating registration parameters 
Sub Title (in English)  
Keyword(1) super-resolution  
Keyword(2) compound Markov random field prior  
Keyword(3) Bayesian inference  
Keyword(4) variational EM algorithm  
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1st Author's Name Toshiki Kinoshita  
1st Author's Affiliation Kansai University (Kansai Univ.)
2nd Author's Name Seiji Miyoshi  
2nd Author's Affiliation Kansai University (Kansai Univ.)
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Speaker
Date Time 2012-11-07 15:30:00 
Presentation Time 150 
Registration for IBISML 
Paper # IEICE-IBISML2012-35 
Volume (vol) IEICE-112 
Number (no) no.279 
Page pp.9-16 
#Pages IEICE-8 
Date of Issue IEICE-IBISML-2012-10-31 


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