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Abstract
Traditional denoising algorithms cannot effectively deal with these images with different blurriness and color deviation. Especially for underwater operations, the images are not clear, which makes it difficult for operators to act as agents. To solve this problem, this paper proposes a bright color compensation and fusion method. Underwater image enhancement algorithm uses generated countermeasure network (GAN). First, the original image is color compensated using the bright channel to obtain a color‐compensated image; then, adaptive contrast stretching is performed on the color‐compensated image to obtain a clear image with high contrast. It can be seen from the experiment that the PSNR of the marine landscape map can reach 21.9329, and the SSIM can reach 0.7329, which can provide useful help for the field of underwater image enhancement.
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