Abstract
This paper proposes deep a deep color constancy method that exploits multi-band NIR. In recent years, NIR col-orization has been popularly studied in literature. Our previous work shows that multi-band NIR is more useful than a single band NIR in the conversion of NIR-to-RGB. The proposed method exploits this relationship in illuminant estimation. The proposed network consists of two subnets that learn local illuminant and its confidence weight respectively. With multi-band NIR images, we can improve the confidence of local illuminant estimation. While most conventional methods focus on only spatial information of RGB image, we propose to utilize deep spatio-spectral features for color constancy. The experimental results show that the proposed multi-band NIR method performs better than the methods with RGB only or RGB + one band NIR.
Original language | English |
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Title of host publication | Proceedings of 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 779-783 |
Number of pages | 5 |
ISBN (Electronic) | 9786165904773 |
DOIs | |
Publication status | Published - 2022 |
Event | 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022 - Chiang Mai, Thailand Duration: 2022 Nov 7 → 2022 Nov 10 |
Publication series
Name | Proceedings of 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022 |
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Conference
Conference | 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022 |
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Country/Territory | Thailand |
City | Chiang Mai |
Period | 22/11/7 → 22/11/10 |
Bibliographical note
Funding Information:This work is supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2020R1A4A4079705) and in part by the MSIT(Ministry of Science and ICT), Korea, under the ITRC(Information Technology Research Center) support program(IITP-2020-0-01749) supervised by the IITP(Institute of Information Communications Technology Planning Evaluation).
Publisher Copyright:
© 2022 Asia-Pacific of Signal and Information Processing Association (APSIPA).
ASJC Scopus subject areas
- Computer Networks and Communications
- Information Systems
- Signal Processing