The p Curve Method for Illumination Estimation
Article No.: 5, Pages 1 - 6
Abstract
When taking an image with a camera, the illumination can have a lot of influence on the colors of objects in the image. This influence can have adverse effects on different computer vision tasks. This is solved by preprocessing the image using computational color constancy. In this paper we propose a new method for illumination estimation, one of the parts of color constancy, using low level image statistics and optimization approaches, the p curve method. Experimental results are presented comparing both the newly proposed method to already established methods as well as comparing different variants of the proposed method.
References
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Index Terms
- The p Curve Method for Illumination Estimation
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Published In
December 2020
366 pages
ISBN:9781450389532
DOI:10.1145/3448823
Copyright © 2020 ACM.
© 2020 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.
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Association for Computing Machinery
New York, NY, United States
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Published: 04 March 2021
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- Refereed limited
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- Croatian Science Foundation
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ICVISP 2020
ICVISP 2020: 2020 4th International Conference on Vision, Image and Signal Processing
December 9 - 11, 2020
Bangkok, Thailand
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ICVISP 2020 Paper Acceptance Rate 60 of 147 submissions, 41%;
Overall Acceptance Rate 186 of 424 submissions, 44%
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