Optimization method and device for image shot in weak light environment

The invention discloses an optimization method and device for an image shot in a weak light environment, and relates to the technical field of artificial intelligence, and the method comprises the steps of: acquiring a to-be-processed image, and carrying out preprocessing on the to-be-processed image to obtain a standard image; extracting features of the standard image by using a pre-trained convolutional neural network model; taking the features of the standard image as input of a processing parameter prediction model to obtain a first noise reduction parameter and a first sharpening parameter output by the processing parameter prediction model; wherein the processing parameter prediction model is obtained by training a regression model by using features of a plurality of images and noise reduction parameters and sharpening parameters for optimizing the images; and processing the standard image by using the first noise reduction parameter and the first sharpening parameter to obtain an optimized image. Accor