公开(公告)号：US11823362B2

公开(公告)日：2023-11-21

申请号：US17097320

申请日：2020-11-13

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Pilkyu Park ,  Junghye Min ,  Kwangpyo Choi ,  Kyungah Kim ,  Tejas Nair ,  Yumi Sohn

IPC: G06T5/00 ,  H04N9/68 ,  G06T9/00 ,  G06N3/02 ,  G06F18/00 ,  G06N3/045 ,  H04N23/88

CPC classification number: G06T5/009 ,  G06F18/00 ,  G06N3/02 ,  G06N3/045 ,  G06T9/002 ,  H04N9/68 ,  H04N23/88 ,  G06T2207/20208

Abstract: A display apparatus and a controlling method thereof are disclosed. The display apparatus includes: a memory storing one or more instructions; and a processor configured to execute the stored one or more instructions to: obtain encoded data of a first digital image and artificial intelligence (AI) meta-information indicating a specification of a deep neural network (DNN), obtain a second digital image corresponding to the first digital image by decoding the encoded data, obtain a light signal converted from the second digital image according to a previously determined electro-optical transfer function (EOTF), and obtain a display signal by processing the light signal by using an opto-optical transfer function (OOTF) and a high dynamic range (HDR) DNN set according to the AI meta-information.

公开(公告)号：US11379955B2

公开(公告)日：2022-07-05

申请号：US16971601

申请日：2019-02-20

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Tejas Nair ,  Jaesung Lee ,  Tammy Lee

IPC: G06T5/00 ,  G06N3/08 ,  G06T5/50 ,  H04N5/235

Abstract: The present disclosure relates to an artificial intelligence (AI) system utilizing a machine learning algorithm, including deep learning and the like, and application thereof. In particular, an electronic device of the present disclosure comprises: a memory including at least one command; and a processor connected to the memory so as to control the electronic device, wherein, by executing the at least one command, the processor acquires an image, acquires a noise correction map for correction of noise of the image on the basis of configuration information of a camera having captured the image or brightness information of the image, and eliminates the noise of the image through the noise correction map. In particular, at least a part of an image processing method may use an artificial intelligence model having been acquired through learning according to at least one of a machine learning algorithm, a neural network algorithm, and a deep learning algorithm.