Multi-input fusion underwater image enhancement technology

Images are one of the important carriers for acquiring underwater information. This paper proposes an underwater image enhancement algorithm with multi-input fusion to address the problems of low image contrast and colour degradation caused by the underwater environment in the imaging process of underwater optical images. Firstly, the dark channel a priori defogging is used to remove the inhomogeneous turbidity in the image and equalise the image color; then, the restricted contrast adaptive histogram equalisation is used to uniformly clip the image brightness components to further improve the image contrast; at the same time, the homomorphic filtering is combined to solve the problems such as uneven illumination of the image. Finally, the multiple outputs obtained are weighted using the Euclidean rule to obtain the final fused image. Experiments show that the images enhanced by this method are clearer to the naked eye and the target information is more prominent.