Paper Abstract and Keywords |
Presentation |
2016-03-11 10:10
Impulse Noise Removal by Extended Median Filter Utilizing Minimum Spanning Tree with 8-neighborhood Saki Asamoto, Takanori Koga (NIT, Tokuyama College) SIS2015-63 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this study, we propose a random-valued impulse noise removal method with superior detail preservation capability by an extended median filter. This filter uses both a median filter with a square window and that with an adaptive one constructed by using 8-neighborhood minimum spanning tree (MST). Median filter with a square window has superior capability in the impulse noise removal. However, it tends to destroy detailed structure in an image. To cope with this problem, the proposed method calculates a weighted median by using the pixels both in the square window and the adaptive one which fits to the details in the image. In this paper, the superior performance of the proposed method is verified through the experiments with gray-scale and colored natural and artificial images by comparing with some MST-based noise removal methods. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
random-valued impulse noise / minimum spanning tree / 8-neighborhood / detail-preservation / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 115, no. 505, SIS2015-63, pp. 87-92, March 2016. |
Paper # |
SIS2015-63 |
Date of Issue |
2016-03-03 (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) |
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SIS2015-63 |
Conference Information |
Committee |
SIS |
Conference Date |
2016-03-10 - 2016-03-11 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Tokyo City Univ. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Soft computing, etc. |
Paper Information |
Registration To |
SIS |
Conference Code |
2016-03-SIS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Impulse Noise Removal by Extended Median Filter Utilizing Minimum Spanning Tree with 8-neighborhood |
Sub Title (in English) |
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Keyword(1) |
random-valued impulse noise |
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minimum spanning tree |
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8-neighborhood |
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detail-preservation |
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1st Author's Name |
Saki Asamoto |
1st Author's Affiliation |
National Institute of Technology, Tokuyama College (NIT, Tokuyama College) |
2nd Author's Name |
Takanori Koga |
2nd Author's Affiliation |
National Institute of Technology, Tokuyama College (NIT, Tokuyama College) |
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Speaker |
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Date Time |
2016-03-11 10:10:00 |
Presentation Time |
20 minutes |
Registration for |
SIS |
Paper # |
SIS2015-63 |
Volume (vol) |
vol.115 |
Number (no) |
no.505 |
Page |
pp.87-92 |
#Pages |
6 |
Date of Issue |
2016-03-03 (SIS) |
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