Paper Abstract and Keywords |
Presentation |
2012-11-17 14:55
Design of probabilistic image inpainting filters using Gaussian graphial models Tomotaka Kitagawa, Muneki Yasuda, Kazuyuki Tanaka (Tohoku Univ.) NC2012-71 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
A probabilistic image inpainting lter is an image processing lter that reconstructs lost or deteriorated pixels of images by using information of other pixels in the images.
Pixel-based probabilistic image inpainting lters
on the basis of a Gaussian graphical models (Gaussian Markov random elds), which can fast reconstruct damaged parts of images, have been proposed by some authors.
In this paper, to reconstruct larger damaged regions in images, we propose a new texture-based probabilistic image inpainting lter by extending the pixel-based probabilistic image inpainting lters. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
image inpainting / Bayes statistics / probabilistic information processing / Gaussian graphical model / maximum likelihood estimation / / / |
Reference Info. |
IEICE Tech. Rep., vol. 112, no. 298, NC2012-71, pp. 57-62, Nov. 2012. |
Paper # |
NC2012-71 |
Date of Issue |
2012-11-09 (NC) |
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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NC2012-71 |
Conference Information |
Committee |
MBE NC |
Conference Date |
2012-11-16 - 2012-11-17 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Tohoku University |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
BCI/BMI, NC and MBE |
Paper Information |
Registration To |
NC |
Conference Code |
2012-11-MBE-NC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Design of probabilistic image inpainting filters using Gaussian graphial models |
Sub Title (in English) |
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Keyword(1) |
image inpainting |
Keyword(2) |
Bayes statistics |
Keyword(3) |
probabilistic information processing |
Keyword(4) |
Gaussian graphical model |
Keyword(5) |
maximum likelihood estimation |
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1st Author's Name |
Tomotaka Kitagawa |
1st Author's Affiliation |
Tohoku University (Tohoku Univ.) |
2nd Author's Name |
Muneki Yasuda |
2nd Author's Affiliation |
Tohoku University (Tohoku Univ.) |
3rd Author's Name |
Kazuyuki Tanaka |
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Tohoku University (Tohoku Univ.) |
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Speaker |
Author-1 |
Date Time |
2012-11-17 14:55:00 |
Presentation Time |
25 minutes |
Registration for |
NC |
Paper # |
NC2012-71 |
Volume (vol) |
vol.112 |
Number (no) |
no.298 |
Page |
pp.57-62 |
#Pages |
6 |
Date of Issue |
2012-11-09 (NC) |
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