The invention relates to a multi-scale residual attention image defogging method based on an LAB color space, and the method comprises the steps of: making an image set needed by defogging network training, randomly selecting 2000 outdoor images from a real single image denoising data set, and making a training image set and a verification image set; building a brightness component processing convolutional neural sub-network based on a multi-scale residual attention module; building a chrominance component processing convolutional neural sub-network based on the multi-scale residual attention module; training the two convolutional neural sub-networks by adopting the manufactured training image set and verification image set; and inputting a to-be-tested image into the trained convolutional neural sub-network for defogging processing. According to the invention, the defogging processing is carried out on the brightness component, and the color enhancement processing is carried out on the chrominance component, so that the fog in the fog-containing image can be effectively removed, and the color distortion of the defogged image can be reduced; different detail parts in the image can be better reserved, and the display effect of the image is improved.
Multi-scale residual attention image defogging method based on LAB color space