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| Presentation | 2015-12-03 13:35 Robust Non Local Means with Similarty Measure for Mixed Noise Removal Haruki Niikura, Mitsuhiko Meguro (Nihon Univ.)  SIS2015-30 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this paper, we propose two Non Local Means (NL-means) algorithms with robustness for Gaussian and mixed noise removal from images. The Non Local Means is well known as the powerful noise removal method without image blurring during filtering. Nevertheless, a similarity measure which determines the weights of NL-means tends to have errors because of the effect of Gaussian noise component. Therefore, we propose a new similarity measure for robustness against Gaussian noise. The similarity measure subtracts the noisy component from the sum of absolute difference between blocks. Moreover, we propose a robust NL-means method for Gaussian noise and impulsive noise (i.e., mixed noise ). The robust NL-means detects impulsive noise inside the block and eliminate the noisy pixels from the pixels used for the similarity measure. Through some simulations, the proposed methods are shown to give effective results than the conventional NL-means. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Image denoising / Non Local Means / Mixed noise / Robust similarity measure / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 115, no. 348, SIS2015-30, pp. 7-12, Dec. 2015. | |
| Paper # | SIS2015-30 | |
| Date of Issue | 2015-11-26 (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) | |
| Download PDF | SIS2015-30 |
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| Conference Information | |
| Committee | SIS |
| Conference Date | 2015-12-03 - 2015-12-04 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Matsuya-sensen (Awara city, Fukui) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | SoC, Related to RFID, etc. |
| Paper Information | |
| Registration To | SIS |
| Conference Code | 2015-12-SIS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Robust Non Local Means with Similarty Measure for Mixed Noise Removal |
| Sub Title (in English) | |
| Keyword(1) | Image denoising |
| Keyword(2) | Non Local Means |
| Keyword(3) | Mixed noise |
| Keyword(4) | Robust similarity measure |
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| Keyword(8) | |
| 1st Author's Name | Haruki Niikura |
| 1st Author's Affiliation | Nihon University (Nihon Univ.) |
| 2nd Author's Name | Mitsuhiko Meguro |
| 2nd Author's Affiliation | Nihon University (Nihon Univ.) |
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| Speaker | Author-1 |
| Date Time | 2015-12-03 13:35:00 |
| Presentation Time | 20 minutes |
| Registration for | SIS |
| Paper # | SIS2015-30 |
| Volume (vol) | vol.115 |
| Number (no) | no.348 |
| Page | pp.7-12 |
| #Pages | 6 |
| Date of Issue | 2015-11-26 (SIS) |
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