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Paper Abstract and Keywords
Presentation 2026-03-05 14:20
A Proposal of Nighttime Dehazing Method via Haze-Invariant Prior and Self-Distillation
Reia Tanaka (Kagoshima Univ.), Yoshiaki Ueda (Ryukoku Univ.), Satoshi Ono, Mashiho Mukaida (Kagoshima Univ.) SIS2025-62
Abstract (in Japanese) (See Japanese page) 
(in English) Numerous single image dehazing methods perform well in daytime scenarios. However, their effectiveness is limited in nighttime environments due to the coexistence of multiple artificial light sources and light scattering (glow). Furthermore, it is difficult to acquire paired datasets of hazy and corresponding clean images for nighttime scenes. Though self-supervised learning method based on self-distillation has been introduced, this method often suffer from unnatural color shifts in the restored images and high computational costs. In this study, we propose a nighttime dehazing method based on self-distillation that incorporates a haze-invariant hue prior into the loss function. We employ a luminance based pseudo-haze generation and a lightweight network model. The proposed method achieves fast inference and improved visibility. Experiments show that the performance of the proposed method is comparable to existing methods.
Keyword (in Japanese) (See Japanese page) 
(in English) nighttime dehazing method / self-supervised learning / self-distillation / haze-invariant prior / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 393, SIS2025-62, pp. 27-32, March 2026.
Paper # SIS2025-62 
Date of Issue 2026-02-26 (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 SIS2025-62

Conference Information
Committee SIS  
Conference Date 2026-03-05 - 2026-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Ohkubo Campus, Saitama University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SIS 
Conference Code 2026-03-SIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Proposal of Nighttime Dehazing Method via Haze-Invariant Prior and Self-Distillation 
Sub Title (in English)  
Keyword(1) nighttime dehazing method  
Keyword(2) self-supervised learning  
Keyword(3) self-distillation  
Keyword(4) haze-invariant prior  
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1st Author's Name Reia Tanaka  
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 Satoshi Ono  
3rd Author's Affiliation Kagoshima University (Kagoshima Univ.)
4th Author's Name Mashiho Mukaida  
4th Author's Affiliation Kagoshima University (Kagoshima Univ.)
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Speaker Author-1 
Date Time 2026-03-05 14:20:00 
Presentation Time 20 minutes 
Registration for SIS 
Paper # SIS2025-62 
Volume (vol) vol.125 
Number (no) no.393 
Page pp.27-32 
#Pages 6 
Date of Issue 2026-02-26 (SIS) 

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