Image processing apparatus and operating method of the same

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

• obtaining first feature information by performing a convolution operation on a first image and a first kernel included in a first convolution layer among a plurality of convolution layers;
• obtaining at least one piece of characteristic information, based on the first feature information;
• obtain at least one sub-feature information by performing a convolution operation on the at least one piece of characteristic information and at least one sub kernel;
• obtaining second feature information, based on the first feature information and the at least one sub-feature information;
• obtaining third feature information by performing a convolution operation on the obtained second feature information and a second kernel included in a second convolution layer that is a layer next to the first convolution layer among the plurality of convolution layers;
• and
• obtaining an output image, based on the third feature information.

An image processing apparatus comprising:

• a memory storing at least one instruction;
• and
• a processor configured to execute the at least one instruction stored in the memory to:
• obtain at least one piece of characteristic information from an input signal by filtering or transforming the input signal;
• obtain first feature information of the input signal;
• obtain first sub-feature information from the at least one piece of characteristic information by performing a convolution operation on the at least one piece of characteristic information and a first sub-kernel in a convolution layer among a plurality of convolution layers;
• obtain second sub-feature information from the at least one piece of characteristic information by performing a convolution operation on the at least one piece of characteristic information and a second sub-kernel in a convolution layer among the plurality of convolution layers;
• obtain second feature information based on the first feature information, the at least one piece of characteristic information, the first sub-feature information, and the second sub-feature information;
• obtain third feature information from the second feature information by performing a convolution operation on the second feature information and a second kernel included in a convolution layer among the plurality of convolution layers;
• and
• obtain an output image, based on the third feature information.