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Paper Abstract and Keywords
Presentation 2011-03-09 11:05
Image restoration for computed tomography image with Bayesian approach
Junta Ueki, Hayaru Shouno (UEC) NC2010-189
Abstract (in Japanese) (See Japanese page) 
(in English) When a doctor diagnose patient,a doctor use a computed tomography image.When we get computed tomography image,we expect low invasive image.However,when we take a computed tomograpy image,the image is debased by various problems.For instance,this problems occur by mechanical factors or by radiation irradiance of X-ray computed tomography scanner.Thus when we try to solve the problems,we can think the compensation mechanism of restoration process.
On the other hand,we can think the directly approach that restore the computed tomography image,too.We focused on the approach of the latter and weigh the former against the latter.This approach has Bayes estimation for image restoration.We try to use belief propagation for this approach.This approach use prior distribution as image character and deterioration process as image degradation.We use prior distribution as Gaussian Markov random field and deterioration process as gaussian noize. Moreover,we estimate those Hyperparameter by maximizing a marginal likelihood.We weigh the image generated by this image restoration approach against the other image generated by the other image restoration approach that is the compensation mechanism of restoration process.
Keyword (in Japanese) (See Japanese page) 
(in English) Computed tomography image / Image restoration / Statistical mechanics of information / Bayesian inference / Gaussian Markov random field / Belief propagation / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 461, NC2010-189, pp. 367-372, March 2011.
Paper # NC2010-189 
Date of Issue 2011-02-28 (NC) 
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)
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Conference Information
Committee NC MBE  
Conference Date 2011-03-07 - 2011-03-09 
Place (in Japanese) (See Japanese page) 
Place (in English) Tamagawa University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2011-03-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Image restoration for computed tomography image with Bayesian approach 
Sub Title (in English)  
Keyword(1) Computed tomography image  
Keyword(2) Image restoration  
Keyword(3) Statistical mechanics of information  
Keyword(4) Bayesian inference  
Keyword(5) Gaussian Markov random field  
Keyword(6) Belief propagation  
1st Author's Name Junta Ueki  
1st Author's Affiliation The University of Electro-Communications (UEC)
2nd Author's Name Hayaru Shouno  
2nd Author's Affiliation The University of Electro-Communications (UEC)
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Date Time 2011-03-09 11:05:00 
Presentation Time 25 
Registration for NC 
Paper # IEICE-NC2010-189 
Volume (vol) IEICE-110 
Number (no) no.461 
Page pp.367-372 
#Pages IEICE-6 
Date of Issue IEICE-NC-2011-02-28 

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