Distance-Independent Background Light Estimation Method

Abstract

A distance-independent background light estimation method is proposed for underwater overhead images. The method addresses the challenge of the absence of the farthest point in underwater overhead images by adopting a global perspective to select the optimal solution and estimate the background light by minimizing the loss function. Moreover, to enhance the information retention in the images, a translation function is employed to adjust the transmission map values within the range of [0.1, 0.95]. Additionally, the method capitalizes on the redundancy of image information and the similarity of adjacent frames, resulting in higher computational efficiency. The comparative experimental results show that the proposed method has better restoration performance on underwater images in various scenarios, especially in handling color bias and preserving information.