An effective color correction method for underwater image
Ye Tao, Lili Dong, Luqiang Xu, Wenhai Xu · Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021) · 2022
Due to the light scattering and absorption phenomenon in underwater medium, underwater images always suffer from contrast degradation, detail loss, and color distortion. Color correction is an important process in dehazing underwater images, while current techniques could not remove color bias accurately. This paper introduces an effective color correction method for underwater image, which mainly contains three steps. First, a novel algorithm is proposed to choose the dominant and degraded channel(s) of input. Then a parameter adaptive-adjusted color compensation algorithm is proposed to compensate the degraded channels locally. Last, the traditional gray-world assumption and the famous histogram equalization operation is conducted on the color-compensated image to get the final result. Our experimental results demonstrate the superior performance of the proposed method in both subjective and objective evaluations.