Image processing device and operating method thereof

An operating method of an image processing device, the operating method comprising:

• obtaining kernel coefficient information corresponding to each pixel of a plurality of pixels included in a first image, using a convolution neural network comprising one or more convolution layers,
• generating a spatially variant kernel comprising a kernel corresponding to the each pixel, based on a gradient kernel set comprising a plurality of gradient kernels corresponding to one or more gradient characteristics of the plurality of pixels, and the kernel coefficient information, and
• generating a second image, by applying the kernel included in the spatially variant kernel to a region centered on the each pixel and filtering the first image.

A non-transitory computer-readable recording media having stored therein a program which, when executed by at least one processor, causes the at least one processor to:

• obtain kernel coefficient information corresponding to each pixel of a plurality of pixels included in a first image, using a convolution neural network comprising one or more convolution layers,
• generate a spatially variant kernel comprising a kernel corresponding to the each pixel, based on a gradient kernel set comprising a plurality of gradient kernels corresponding to one or more gradient characteristics of the plurality of pixels, and the kernel coefficient information, and
• generate a second image, by applying the kernel included in the spatially variant kernel to a region centered on the each pixel and filtering the first image.