Auto Color Correction of Underwater Images Utilizing Depth Information
Jingchun Zhou, Dehuan Zhang, Wenqi Ren, Weishi Zhang
Abstract
The red spectrum is saliently attenuated due to the absorption and scattering properties of water. The acquired underwater images show severe color cast in underwater scenes. In this letter, we propose a novel color correction method for underwater images, which removes color cast on single pixels based on scene depth. The experimental results demonstrate that our approach can significantly improve the color effect and provide a correct input for the subsequent underwater image defogging methods.
Topics & Concepts
UnderwaterColor correctionArtificial intelligenceComputer visionComputer sciencePixelImage (mathematics)GeologyOceanographyImage Enhancement TechniquesColor Science and ApplicationsAdvanced Image Fusion Techniques