Color Transfer For Underwater Dehazing And Depth Estimation

Imaging in the underwater environment suffers from color degradation and poor visibility since the light spectrum is selectively absorbed and scattered by water and floating particles. In this paper we introduce a simple but effective underwater dehazing approach that builds on an original color transfer strategy to align the color statistics of a hazy input to the ones of a reference image, also captured underwater, but with neglectable water attenuation. As an original specificity, our proposed color transfer approach is designed to promote the preservation of salient regions, as well as of the details obtained by subtracting from the input an edge-preserving smoothed version of itself. The color-transferred input is then restored by inverting a simplified version of the McGlamery underwater image formation model, using the conventional Dark Channel Prior to estimate the transmission map and the back-scattered light parameter involved in the model. We demonstrate that our color transfer step is crucial for a good transmission estimation but mostly for underwater dehazing where other specialized techniques fail. Extensive qualitative and quantitative results demonstrate the effectiveness of the proposed approach to estimate the transmission, including for cases where traditional specialized techniques fail, and to improve the image quality.