US 11,836,890 B2
Image processing apparatus and image processing method thereof
Cheon Lee, Suwon-si (KR); Donghyun Kim, Suwon-si (KR); Yongsup Park, Suwon-si (KR); Jaeyeon Park, Suwon-si (KR); Iljun Ahn, Suwon-si (KR); Hyunseung Lee, Suwon-si (KR); Taegyoung Ahn, Suwon-si (KR); Youngsu Moon, Suwon-si (KR); and Tammy Lee, Suwon-si (KR)
Assigned to SAMSUNG ELECTRONICS CO., LTD., Suwon-si (KR)
Filed by SAMSUNG ELECTRONICS CO., LTD., Suwon-si (KR)
Filed on Nov. 16, 2021, as Appl. No. 17/527,732.
Application 17/527,732 is a continuation of application No. 16/838,650, filed on Apr. 2, 2020, granted, now 11,295,412.
Claims priority of application No. 10-2019-0060240 (KR), filed on May 22, 2019; and application No. 10-2019-0080346 (KR), filed on Jul. 3, 2019.
Prior Publication US 2022/0076375 A1, Mar. 10, 2022
Int. Cl. G06T 3/40 (2006.01); G06T 7/13 (2017.01); G06V 10/82 (2022.01)
CPC G06T 3/403 (2013.01) [G06T 3/4053 (2013.01); G06T 7/13 (2017.01); G06V 10/82 (2022.01); G06T 2207/20081 (2013.01)] 18 Claims
OG exemplary drawing
 
1. 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 a first image in which a first area is processed in an input image by applying the input image to a first neural network model,
obtain a second image in which a second area is processed in the input image by applying the input image to a second neural network model, and
obtain an output image based on the first and second images,
wherein each of the first neural network model and the second neural network model is trained to enhance different characteristics of an image,
wherein the first area has a characteristic of a graphic image, and
wherein the second area has a characteristic of a natural image.