US 12,100,118 B2
Electronic apparatus and controlling method thereof
Hyunseung Lee, Suwon-si (KR); Donghyun Kim, Suwon-si (KR); Youngsu Moon, Suwon-si (KR); Seungho Park, Suwon-si (KR); and Younghoon Jeong, Suwon-si (KR)
Assigned to SAMSUNG ELECTRONICS CO., LTD., Suwon-si (KR)
Filed by SAMSUNG ELECTRONICS CO., LTD., Suwon-si (KR)
Filed on Apr. 2, 2021, as Appl. No. 17/221,105.
Claims priority of application No. 10-2020-0158173 (KR), filed on Nov. 23, 2020.
Prior Publication US 2022/0164923 A1, May 26, 2022
Int. Cl. G06T 3/4046 (2024.01); G06F 18/21 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01)
CPC G06T 3/4046 (2013.01) [G06F 18/2163 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01)] 18 Claims
OG exemplary drawing
 
1. An electronic apparatus comprising:
a memory configured to store a plurality of neural network models; and
a processor connected to the memory and control the electronic apparatus,
wherein the processor is configured to:
obtain a weight map based on an object area included in an input image,
obtain a plurality of images by inputting the input image to each of the plurality of neural network models, and
obtain an output image by weighting the plurality of images based on the weight map,
wherein each of the plurality of neural network models is a model trained to upscale an image, and
wherein the processor is further configured to assign a higher value to an object area included in a first image from among the plurality of images than an object area included in a second image from among the plurality of images, and assign a lower value to a background area included in the first image than a background area included in the second image to weight the first image and the second image.