An image defogging method based on a convolutional neural network

The invention discloses an image defogging method based on a convolutional neural network, which can improve the definition of a foggy image, avoid image distortion, simplify the image processing steps, and improve the overall efficiency of image processing is improved; The method specifically comprises the following steps that S1, obtaining an original fog-free image, wherein the original fog-free image is selected from the existing data set, and N original fog-free images are selected as an integral training sample, S2, obtaining a foggy image; artificially synthesizing the original fog-freeimage in the step S1 into a foggy image; sequentially adopting a blue channel fogging algorithm and an atmospheric scattering model to process an original fogless image to obtain a foggy image, and S3, establishing a convolutional neural network model, processing the foggy image to obtain a final defogged image, establishing a convolutional neural network model, and processing the foggy image byadopting the convolutional