-
公开(公告)号:US20240233080A9
公开(公告)日:2024-07-11
申请号:US18300095
申请日:2023-04-13
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Junsang Yu , Kinam Kwon , Jaehyoung Yoo , Sangwon Lee , Hyong Euk Lee
CPC classification number: G06T5/001 , G06T5/50 , G06T7/0002 , G06T7/90 , G06T2207/10024 , G06T2207/20081 , G06T2207/20084 , G06T2207/30168
Abstract: A method, implemented by a processor, of correcting lighting of an image includes inputting an input image to a first neural network and generating predicted lighting data corresponding to lighting of the input image and embedding data corresponding to a feature of the input image, inputting the generated predicted lighting data, the generated embedding data, and sensor data to a second neural network and generating a lighting weight corresponding to the input image, and generating correction lighting data for the input image by applying the generated lighting weight to preset basis lighting data corresponding to the input image.
-
公开(公告)号:US12260533B2
公开(公告)日:2025-03-25
申请号:US17680934
申请日:2022-02-25
Applicant: Samsung Electronics Co., Ltd.
Inventor: Kinam Kwon , Junsang Yu , Sangwon Lee , Nahyup Kang , Hyong Euk Lee
Abstract: A method with image processing includes: setting an offset window for an offset pattern of a kernel offset and an offset parameter for an application intensity of the kernel offset; determining an output kernel by applying the kernel offset to an input kernel based on the offset window and the offset parameter; and adjusting contrast of a degraded image using the output kernel.
-
公开(公告)号:US20240135494A1
公开(公告)日:2024-04-25
申请号:US18300095
申请日:2023-04-12
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Junsang Yu , Kinam Kwon , Jaehyoung Yoo , Sangwon Lee , Hyong Euk Lee
CPC classification number: G06T5/001 , G06T5/50 , G06T7/0002 , G06T7/90 , G06T2207/10024 , G06T2207/20081 , G06T2207/20084 , G06T2207/30168
Abstract: A method, implemented by a processor, of correcting lighting of an image includes inputting an input image to a first neural network and generating predicted lighting data corresponding to lighting of the input image and embedding data corresponding to a feature of the input image, inputting the generated predicted lighting data, the generated embedding data, and sensor data to a second neural network and generating a lighting weight corresponding to the input image, and generating correction lighting data for the input image by applying the generated lighting weight to preset basis lighting data corresponding to the input image.
-
-