| CPC G06T 1/00 (2013.01) [G06F 18/213 (2023.01); G06F 18/22 (2023.01); G06F 18/23 (2023.01); G06F 18/28 (2023.01); G06N 3/04 (2013.01); G06V 10/454 (2022.01); G06V 10/82 (2022.01)] | 17 Claims |
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1. An image processing device comprising:
a memory configured to store one or more instructions; and
a processor configured to execute the one or more instructions stored in the memory to:
extract one or more input patches based on an input image;
extract one or more pieces of feature information respectively corresponding to the one or more input patches, based on a dictionary including mapping information indicating mappings between a plurality of patches and pieces of feature information respectively corresponding to the plurality of patches; and
obtain a final image by performing a convolution operation between the extracted one or more pieces of feature information and a filter kernel,
wherein the dictionary is generated based on pieces of feature information output at an n−1-th convolution layer of a deep neural network (DNN) that includes n convolution layers and is trained to output a second image by performing image processing on a first image according to a preset purpose, and
the filter kernel is based on a filter kernel included in an n-th convolution layer of the DNN.
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