Recover image color from multiple light sources

Kaixin Shao; Yong Chen; Jingliang Zhang; Shangming Chen; Hangying Xiong

doi:10.1117/12.3040475

10 September 2024 Recover image color from multiple light sources

Kaixin Shao, Yong Chen, Jingliang Zhang, Shangming Chen, Hangying Xiong

Author Affiliations +

Proceedings Volume 13257, International Conference on Advanced Image Processing Technology (AIPT 2024); 1325706 (2024) https://doi.org/10.1117/12.3040475
Event: International Conference on Advanced Image Processing Technology (AIPT 2024), 2024, Chongqing, China

Abstract

In this paper, we introduce a novel color constancy method designed specifically for color adjustment in scenarios involving multiple light sources. By employing a Bayesian estimator, our method calculates the probability that an image accurately reflects the actual light source in a multi-light environment. We achieve this accuracy by identifying the real light source via linear weighting. The estimated real light source is then refined by integrating a loss function and a discriminator, aiming to restore the image's original color accurately. Experimental results validate that our approach surpasses traditional methods in effectively recovering the original color of images under various lighting conditions.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Kaixin Shao, Yong Chen, Jingliang Zhang, Shangming Chen, and Hangying Xiong "Recover image color from multiple light sources", Proc. SPIE 13257, International Conference on Advanced Image Processing Technology (AIPT 2024), 1325706 (10 September 2024); https://doi.org/10.1117/12.3040475

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KEYWORDS

Light sources

Color

Image enhancement

Image processing

Image quality

Image restoration

Deep learning

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