Abstract: A method and apparatus, device, and storage medium for generating an image processing model and processing images based on the generated image processing model. The method includes generating an initial model for an image resolution processing, the initial model comprising an input layer, an output layer, and an intermediate layer; obtaining a training image comprising a first image and a second image, the first image being obtained by performing a resolution reduction processing on the second image; inputting image data of the first image into the intermediate layer from the input layer for a convolution calculation, and obtaining result data based on the convolution calculation, the result data comprising channel output data of N*N channels; and performing a parameter update on convolution kernel parameters in the intermediate layer based on the result data and the second image, and generating the image processing model according to the initial model.

Abstract: A method and apparatus, device, and storage medium for generating an image processing model and processing images based on the generated image processing model. The method includes generating an initial model for an image resolution processing, the initial model comprising an input layer, an output layer, and an intermediate layer; obtaining a training image comprising a first image and a second image, the first image being obtained by performing a resolution reduction processing on the second image; inputting image data of the first image into the intermediate layer from the input layer for a convolution calculation, and obtaining result data based on the convolution calculation, the result data comprising channel output data of N * N channels; and performing a parameter update on convolution kernel parameters in the intermediate layer based on the result data and the second image, and generating the image processing model according to the initial model.