Image processing apparatus using convolutional neural networks and operating method thereof

Abstract

An image processing apparatus for processing an image by using one or more convolutional neural networks includes a memory storing one or more instructions, and at least one processor configured to execute the one or more instructions stored in the memory to obtain first feature data by performing a convolution operation between input data obtained from a first image and a first kernel, divide a plurality of channels included in the first feature data into first groups, obtain second feature data by performing a convolution operation between the first feature data respectively corresponding to the first groups and second kernels respectively corresponding to the first groups, obtain shuffling data by shuffling the second feature data, obtain output data by performing a convolution operation between data obtained by summing channels included in the shuffling data and a third kernel, and generate a second image based on the output data.