Method, electronic device, and storage medium for processing image by using convolution neural network

Abstract

Provided is an image processing method including upscaling an input image to generate an upscaled image, obtaining a first feature map and a second feature map by inputting the upscaled image to a convolutional neural network and performing a convolution operation on the upscaled image with one or more kernels included in the convolutional neural network, obtaining a gain map by inputting the first feature map to a first convolutional layer, obtaining an offset map by inputting the second feature map to a second convolutional layer, and generating an output image, based on the upscaled image, the gain map, and the offset map, wherein the convolutional neural network is configured to be trained to reduce a difference between a hue of the input image and a hue of the output image.