Abstract: A method for building an image enhancement model includes obtaining training data; building a neural network model consisting of a feature extraction module, at least one channel dilated convolution module and a spatial upsampling module, where each channel dilated convolution module includes a spatial downsampling submodule, a channel dilation submodule and a spatial upsampling submodule; training the neural network model by using the video frames and the standard images corresponding to the video frames until the neural network model converges, to obtain an image enhancement model. In addition, a method for image enhancement includes obtaining a video frame to be processed; taking the video frame to be processed as an input of an image enhancement model, and taking an output result of the image enhancement model as an image enhancement result of the video frame to be processed.