An Efficient Underwater Image Enhancement Using Color Constancy Deskewing Algorithm
The objective of image enhancement is to recover the perception of information in underwater images for human viewers, or to provide recovered input for other automated image processing techniques. In underwater conditions, the image clarities are corrupted by light inclusion and diffusion. This causes one colour to dominate the image. In order to enhance the observation of underwater images, we proposed an approach based on color constancy algorithms. The objective of this proposed method is twofold (i) Feature Extraction and (ii) color constancy algorithm. Firstly, to capture the image characteristics, the Feature parameterization (e.g. grain size and contrast) and the optimized constancy mapping is extended to incorporate the statistical nature of images. The proposed algorithms are tested on synthetic images as well as real images.