Single image defogging method for generating adversarial network based on priori knowledge guide condition
A technology of conditional generation and prior knowledge, applied in the field of image processing, can solve the problems of lack of real scene comparison and strong data dependence, and achieve the effect of easy popularization, high fidelity and simple steps.
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[0037] Such as figure 1 As shown, the single image defogging method based on the prior knowledge-guided conditional generation confrontation network of the present invention includes the following steps:
[0038] Step 1. Establish a fog image training set: use the image data set of known depth to synthesize a group of foggy image training sets according to the atmospheric scattering model, effectively expanding the image data volume of the foggy image training set;
[0039] In this embodiment, the image data set of known depth includes the NYU image data set.
[0040] Step 2. Preliminary dehazing of a single random foggy image: Randomly extract a foggy image from the fogged image training set in step 1, according to the formula Preliminary Dehazed Image Obtained by Prior Knowledge Among them, I h is a single random foggy image, A is the global atmospheric illumination, and T is the medium perspective;
[0041] In this embodiment, in step 2, the global atmospheric illumin...
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