Underwater image enhancement method fusing deep learning and traditional image enhancement technology
An underwater image and deep learning technology, applied in image enhancement, neural learning method, image analysis and other directions, can solve the problems of the complexity of the degradation mechanism of underwater imaging, and achieve the effect of good enhancement effect and high evaluation index.
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[0038] The technical solutions of the present invention will be described in a complete and systematic manner below with reference to the accompanying drawings in the examples of the present invention.
[0039] The underwater image enhancement method of the present invention fuses deep learning and traditional image enhancement technology, such as figure 1 shown, including the following steps:
[0040] Step 1: Input the underwater image dataset synthesized by cycleGAN, which includes a total of 6128 paired underwater images, (including 6128 degraded underwater images and corresponding 6128 clear underwater images), and select 4000 of them. The paired images are used for training, and 100 pairs of images are selected from the remaining images for testing.
[0041] Step 2: Preprocess the test and training sets, normalize the pixel values of the images to [0, 1], and crop them to 256x256x3.
[0042] Step 3 The specific steps of analyzing the mean difference between the underw...
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