Paper Abstract and Keywords |
Presentation |
2020-12-01 15:15
A Proposal of Convolutional Neural Networks detecting and removing noise for Random-Valued Impulse Noise Denoising Yukiya Fukuda (Kytutech), Ryosuke Kubota (NITUC), Hakaru Tamukoh (Kyutech) SIS2020-34 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
When digital images are transmitted, Random-Valued Impulse Noise (RVIN) may cause image degradation. RVIN is known as noise that is difficult to remove, because random values are added independently to original image information. In this paper, we propose a new RVIN removal method using a Convolutional Neural Networks(CNNs) with high accuracy. The proposed method consists of a detection part that detects where the RVINs are added and a removal part that removes detected RVIN. A detection result by the detection part is obtained as a matrix and it becomes input of the removal part with an input image. In experiments, the proposed method is compared with the conventional method from both viewpoints of detection and removal accuracy. As a result, some of the detection accuracies of the proposed method were lower than that of the conventional method, while the removal accuracy was improved. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Denoising / Random-Valued Impulse Noise / Convolutional Neural Network / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 269, SIS2020-34, pp. 35-40, Dec. 2020. |
Paper # |
SIS2020-34 |
Date of Issue |
2020-11-24 (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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SIS2020-34 |
Conference Information |
Committee |
SIS |
Conference Date |
2020-12-01 - 2020-12-01 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Smart Personal Systems, etc. |
Paper Information |
Registration To |
SIS |
Conference Code |
2020-12-SIS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Proposal of Convolutional Neural Networks detecting and removing noise for Random-Valued Impulse Noise Denoising |
Sub Title (in English) |
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Denoising |
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Random-Valued Impulse Noise |
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Convolutional Neural Network |
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1st Author's Name |
Yukiya Fukuda |
1st Author's Affiliation |
Kyusyu Institute of Technology (Kytutech) |
2nd Author's Name |
Ryosuke Kubota |
2nd Author's Affiliation |
National Institute of Technology, Ube College (NITUC) |
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Hakaru Tamukoh |
3rd Author's Affiliation |
Kyusyu Institute of Technology (Kyutech) |
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Speaker |
Author-1 |
Date Time |
2020-12-01 15:15:00 |
Presentation Time |
25 minutes |
Registration for |
SIS |
Paper # |
SIS2020-34 |
Volume (vol) |
vol.120 |
Number (no) |
no.269 |
Page |
pp.35-40 |
#Pages |
6 |
Date of Issue |
2020-11-24 (SIS) |
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