公开(公告)号：US20190164002A1

公开(公告)日：2019-05-30

申请号：US16202815

申请日：2018-11-28

Applicant: Samsung Electronics Co., Ltd.

Inventor： Ju Yong CHOI ,  Jin Hyun KIM ,  Mi Su KIM ,  Jeong In CHOE ,  Hyun Suk CHOI

IPC: G06K9/34 ,  G06T5/00 ,  G06F17/28 ,  G06K9/32

Abstract: An electronic device is provided. The electronic device includes a housing, a display, an image sensor, a wireless communication circuit, a processor, and a memory coupled to the processor. The memory stores instructions. The instructions, when executed, cause the processor to receive image data from the image sensor, to determine a first text based on at least part of the image data, to display the determined first text on the display, to transmit the image data to an external server through the wireless communication circuit, to receive non-image data including a second text from the external server, and to display the second text together with the first text on the display and/or change at least part of the first text displayed on the display based on at least part of the second text, after displaying the determined first text.

公开(公告)号：US20240070835A1

公开(公告)日：2024-02-29

申请号：US18339838

申请日：2023-06-22

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Young Hoon KIM ,  Kun Dong KIM ,  Sung Su KIM ,  Jin Hyun KIM ,  Da Gyeom HONG

IPC: G06T7/00 ,  H04N23/80

CPC classification number: G06T7/0002 ,  H04N23/80 ,  G06T2207/20081 ,  G06T2207/30168

Abstract: A system of automatic optimization of image quality of an image sensor includes an image learning data generation unit generating an image tuning knowledge database, which includes pairs of a plurality of sets of values of a plurality of parameters and a plurality of sets of image quality evaluation scores for a plurality of image quality evaluation items for evaluating a quality of each of a plurality of images generated by the image sensor, using an image tuning database sampling module, an image signal processor modeling unit generating a machine learning model, for each image, for automatically optimizing the quality of each image, and an image sensor image quality optimization unit automatically controlling values of some of the plurality of parameters based on a user's image quality selection and the machine learning model. The image quality evaluation scores are produced by a distributed camera simulation system including servers.