| 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)] | 17 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 first features based on features of first regions having same locations in a plurality of input images,
extract second features based on features of peripheral regions located around the first regions in the plurality of input images, and
determine a feature of a region in an output image, corresponding to the first regions, based on the first features and the second features,
wherein the plurality of input images comprise a first input image and a second input image,
wherein the first regions comprise a first region and a second 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 region in the first input image and a second peripheral region located around the second region in the second input image.
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