Paper Abstract and Keywords |
Presentation |
2020-10-01 13:40
Image Regularization with Morphological Gradient Priors Using Optimization of Multiple Structuring Elements for Each Pixel Hirotaka Oka, Mistuji Muneyasu, Soh Yoshida (Kansai Univ.), Makoto Nakashizuka (CIT) SIS2020-15 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In image regularization, a method for restoring an image has been proposed in which a morphological gradient is used as an image prior, and its structuring element (SE) is optimized. In this paper, we propose a morphological gradient-based image regularization method that optimizes the shapes of multiple SEs corresponding to each pixel. By optimizing the SEs for each pixel, the shapes of the SEs suitable for various edges and textures in the image can be selected. Moreover, the image prior suitable for the image structure can be composed using the optimal multiple SEs. Therefore, improvement of accuracy in image restoration can be expected. Finally, the effectiveness of the proposed method is shown by experiments. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
morphology / morphological gradient / total variation / regularization / image restoration / simulated annealing / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 176, SIS2020-15, pp. 29-34, Oct. 2020. |
Paper # |
SIS2020-15 |
Date of Issue |
2020-09-24 (SIS) |
ISSN |
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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SIS2020-15 |
Conference Information |
Committee |
SIS ITE-BCT |
Conference Date |
2020-10-01 - 2020-10-02 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
System Implementation Technology, Short Range Wireless Systems, Smart Multimedia Systems, Broadcasting Technology, etc. |
Paper Information |
Registration To |
SIS |
Conference Code |
2020-10-SIS-BCT |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Image Regularization with Morphological Gradient Priors Using Optimization of Multiple Structuring Elements for Each Pixel |
Sub Title (in English) |
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Keyword(1) |
morphology |
Keyword(2) |
morphological gradient |
Keyword(3) |
total variation |
Keyword(4) |
regularization |
Keyword(5) |
image restoration |
Keyword(6) |
simulated annealing |
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Keyword(8) |
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1st Author's Name |
Hirotaka Oka |
1st Author's Affiliation |
Kansai University (Kansai Univ.) |
2nd Author's Name |
Mistuji Muneyasu |
2nd Author's Affiliation |
Kansai University (Kansai Univ.) |
3rd Author's Name |
Soh Yoshida |
3rd Author's Affiliation |
Kansai University (Kansai Univ.) |
4th Author's Name |
Makoto Nakashizuka |
4th Author's Affiliation |
Chiba Institute of Technology (CIT) |
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Speaker |
Author-2 |
Date Time |
2020-10-01 13:40:00 |
Presentation Time |
20 minutes |
Registration for |
SIS |
Paper # |
SIS2020-15 |
Volume (vol) |
vol.120 |
Number (no) |
no.176 |
Page |
pp.29-34 |
#Pages |
6 |
Date of Issue |
2020-09-24 (SIS) |
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