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公开(公告)号:US11838641B2
公开(公告)日:2023-12-05
申请号:US17131262
申请日:2020-12-22
Applicant: SAMSUNG ELECTRONICS CO., LTD.
CPC classification number: H04N23/70 , G06N3/048 , G06N3/08 , G06T5/007 , G06T2207/20084
Abstract: A method for generating an output image may include obtaining an input image having a first exposure value, generating a plurality of levels that are each respectively associated with a respective representation of the input image, based on the input image, generating the output image having a second exposure value, based on a deep neural network (DNN) including a set of sub-networks and the plurality of levels, and providing the output image.
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公开(公告)号:US11729362B2
公开(公告)日:2023-08-15
申请号:US17077837
申请日:2020-10-22
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Mahmoud Nasser Mohammed Afifi , Michael Scott Brown
IPC: G06T5/00 , H04N9/73 , G06T3/40 , G06T5/50 , G06F3/04847
CPC classification number: H04N9/73 , G06T3/40 , G06T5/50 , G06F3/04847 , G06T2200/24 , G06T2207/10024 , G06T2207/20084
Abstract: An apparatus for white balance editing, includes a memory storing instructions, and at least one processor configured to execute the instructions to obtain an input image having an original white balance that is corrected by image signal processing, and obtain, using a first neural network, an intermediate representation of the obtained input image, the intermediate representation having the original white balance that is not corrected by the image signal processing. The at least one processor is further configured to execute the instructions to obtain, using a second neural network, a first output image having a first white balance different than the original white balance, based on the obtained intermediate representation.
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公开(公告)号:US20230127327A1
公开(公告)日:2023-04-27
申请号:US17566448
申请日:2021-12-30
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Abdelrahman ABDELHAMED , Luxi Zhao , Michael Scott Brown
Abstract: A method is provided. The method includes receiving an input image, extracting at least one feature from the input image, determining at least one local tone curve for a portion of the input image based on the extracted at least one feature, the portion of the input image being less than an overall area of the input image, and generating a toned image based on the at least one local tone curve.
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