TRAINING METHOD AND DEVICE FOR AN IMAGE ENHANCEMENT MODEL, AND STORAGE MEDIUM

摘要

Provided are a training method and device for an image enhancement model and a storage medium. The method includes: inputting each training input image group into the image enhancement model to obtain a predicted image output by the image enhancement model; and training the image enhancement model until convergence through each loss function respectively corresponding to each training pair. Each loss function includes a plurality of gray scale loss components corresponding to a plurality of frequency intervals one to one, and each gray scale loss component is determined based on a difference between a gray scale frequency division image of each predicted image and a gray scale frequency division image of the corresponding target image in each frequency interval, and different gray scale loss components correspond to different frequency intervals.