Image processing apparatus and operation method thereof

An image processing apparatus comprising:

• at least one memory storing one or more instructions;
• and
• at least one processor configured to execute the one or more instructions stored in the at least one memory,
• wherein the at least one processor is configured to execute the one or more instructions to use one or more convolutional neural networks to:
• determine first parameters, based on position information of first pixels included in a first region of a first image and position information of samples;
• obtain adjusted weights by applying the first parameters to weights in a kernel of the one or more convolutional neural networks;
• obtain feature information corresponding to the first region by performing a convolution operation between pixel values of the first pixels and the adjusted weights;
• and
• generate a second image, based on the feature information.

An operation method of an image processing apparatus for processing an image by using one or more convolutional neural networks, the operation method comprising:

• determining first parameters, based on position information of first pixels included in a first region of a first image and position information of samples of the first image;
• obtaining sample values of the samples by applying the first parameters to pixel values of the first pixels;
• obtaining feature information corresponding to the first region by performing a convolution operation between the sample values and a kernel of the one or more convolutional neural networks;
• and
• generating a second image, based on the feature information.