Multi-level feature fused generative adversarial network image defogging method
A network image, generative technology, applied in the field of image processing, can solve the problems of dull color, easy to fail calculation in the sky area of the image, easy distortion of the image edge, etc. The effect of robustness
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[0034] The technical solution of the present invention will be specifically described below with reference to the accompanying drawings.
[0035] According to a generating formula of a fusion multi-stage feature, a network image degoer is embedded in a generator in which the U-NET is embedded into a generator counter network, and a generated antibody network that fuses multi-stage features, including for use in The generator generating the debris image is used to determine the debris image and the label image and feedback the result to the generator; the generator generates the debris image mode: First, when sampling, a fog image for different resolutions The feature extraction is performed, and the different features of the extracted feature are learned through the SE-RESNET module; and then the learning multi-level feature is spliced, and more image features; then, when sampling, will be fused The feature map is placed in the SE module to learn to better allocate channel weights...
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