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Paper Abstract and Keywords
Presentation 2025-12-11 14:15
A Proposal of Mixed Noise Removal Method Based on 3-Dimensional Integral Image
Ryotaro Honda (Kagoshima Univ.), Yoshiaki Ueda (Ryukoku Univ.), Noriaki Suetake (Yamaguchi Univ.), Satoshi Ono, Mashiho Mukaida (Kagoshima Univ.) SIS2025-46
Abstract (in Japanese) (See Japanese page) 
(in English) Digital images are often degraded by various types of noise that arise from imaging conditions and sensor charac
teristics. Mixed noise, which simultaneously occurs from Gaussian noise and impulse noise, represents a realistic noise model
commonly encountered in real environments. Conventional methods for removing mixed noise include the two-stage filtering
method and non-local processing based methods. However, these methods often suffer from excessive smoothing of fine details
and/or high computational cost. To cope with these problems, we propose a novel mixed-noise removal method that extends the
fast edge-preserving Cuboid filter by incorporating an impulse noise removal. Through experiments, we evaluate the effectiveness
of the proposed method both qualitatively and quantitatively compared with conventional methods.
Keyword (in Japanese) (See Japanese page) 
(in English) 3-Dimensional Integral Image / Cuboid Filter / Mixed Noise Removal Method / / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 282, SIS2025-46, pp. 18-23, Dec. 2025.
Paper # SIS2025-46 
Date of Issue 2025-12-04 (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)
Download PDF SIS2025-46

Conference Information
Committee SIS  
Conference Date 2025-12-11 - 2025-12-12 
Place (in Japanese) (See Japanese page) 
Place (in English) Meijyo Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Smart Personal Sysytems, etc. 
Paper Information
Registration To SIS 
Conference Code 2025-12-SIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Proposal of Mixed Noise Removal Method Based on 3-Dimensional Integral Image 
Sub Title (in English)  
Keyword(1) 3-Dimensional Integral Image  
Keyword(2) Cuboid Filter  
Keyword(3) Mixed Noise Removal Method  
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1st Author's Name Ryotaro Honda  
1st Author's Affiliation Kagoshima University (Kagoshima Univ.)
2nd Author's Name Yoshiaki Ueda  
2nd Author's Affiliation Ryukoku University (Ryukoku Univ.)
3rd Author's Name Noriaki Suetake  
3rd Author's Affiliation Yamaguchi University (Yamaguchi Univ.)
4th Author's Name Satoshi Ono  
4th Author's Affiliation Kagoshima University (Kagoshima Univ.)
5th Author's Name Mashiho Mukaida  
5th Author's Affiliation Kagoshima University (Kagoshima Univ.)
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Speaker Author-1 
Date Time 2025-12-11 14:15:00 
Presentation Time 20 minutes 
Registration for SIS 
Paper # SIS2025-46 
Volume (vol) vol.125 
Number (no) no.282 
Page pp.18-23 
#Pages 6 
Date of Issue 2025-12-04 (SIS) 

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