| CPC G06F 18/22 (2023.01) [G06N 3/04 (2013.01); G06T 7/11 (2017.01); G06V 10/40 (2022.01); G06V 10/759 (2022.01)] | 13 Claims |
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1. An image processing apparatus comprising:
a memory storing one or more instructions; and
a processor configured to execute the one or more instructions stored in the memory,
wherein the processor is configured to, by using one or more convolution neural networks,
extract target features by performing a convolution operation between features of target regions having same locations in a plurality of input images and a first kernel set,
extract peripheral features by performing a convolution operation between features of peripheral regions located around the target regions in the plurality of input images and a second kernel set, and
determine a feature of a region in an output image, corresponding to the target regions, based on the target features and the peripheral features, and
wherein the plurality of input images comprise a first input image and a second input image,
wherein the target regions comprise a first target region and a second target region having same locations in the first input image and the second input image, respectively, and
wherein the peripheral regions comprise a first peripheral region located around the first target region in the first input image and a second peripheral region located around the second target region in the second input image.
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