Recover image color from multiple light sources

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.