Underwater image color correction method based on GAN network
An underwater image and color correction technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve problems such as blurring, not taking into account, and unable to reflect the image, so as to avoid complexity, high definition and sharpness Degree, the effect of improving image processing speed
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[0043] The underwater image color correction method based on the GAN network contains the following steps (such as figure 1 shown):
[0044] Step 1. Train the network and establish a dehydration model;
[0045] Step 1.1, prepare 6500 underwater images and 6000 air images to form an unpaired data set;
[0046] Step 1.2, construct Cycle GAN network (structure such as figure 2 shown), use the unpaired dataset obtained in step 1.1 to train the Cycle GAN network to complete the style conversion from the air image to the underwater image;
[0047] Step 1.3, use the Cycle GAN network trained in step 1.2 to generate the corresponding underwater image from the image in the air in step 1.1, and the image in the air and its corresponding underwater image form a paired data set of 6000 pairs;
[0048] The generated underwater image can be used as the input of the dewatering network, and the image in the air can be used as GroundTruth (correctly labeled real image);
[0049] Step 1.4,...
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