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公开(公告)号:US20230360383A1
公开(公告)日:2023-11-09
申请号:US18143326
申请日:2023-05-04
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Hyunseung LEE , Youngsu MOON
Abstract: An image processing method including obtaining a meta model based on a quality of an input image, training the meta model by using a training data set corresponding to the input image, and obtaining a quality-processed output image from the input image based on the trained meta model.
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公开(公告)号:US20230269430A1
公开(公告)日:2023-08-24
申请号:US18308335
申请日:2023-04-27
Applicant: SAMSUNG ELECTRONICS CO., LTD. , UNIST (ULSAN NATIONAL INSTITUTE OF SCIENCE AND TECHNOLOGY)
Inventor: Guiwon SEO , Jonghwan KIM , Youngshin KWAK , Youngsu MOON , Sungwon SEO , Younghoon JEONG , Minjeong KO , Yeseul BAEK
IPC: H04N21/462 , H04N21/44 , H04N21/45 , H04N21/485
CPC classification number: H04N21/462 , H04N21/44 , H04N21/4516 , H04N21/4532 , H04N21/4858
Abstract: An example electronic apparatus includes a processor configured to identify reference apparatus characteristics and reference cognitive characteristics defined for content to be displayed; identify apparatus characteristics of the electronic apparatus and user cognitive characteristics; and control a display to display an image of the content based on a calibration value of image characteristics based on at least one of a relationship between the reference apparatus characteristics and the apparatus characteristics of the electronic apparatus or a relationship between the reference cognitive characteristics and the user cognitive characteristics.
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公开(公告)号:US20220406237A1
公开(公告)日:2022-12-22
申请号:US17891252
申请日:2022-08-19
Applicant: Samsung Electronics Co., Ltd. , INDUSTRY-ACADEMIC COOPERATION FOUNDATION, YONGSEI UNIVERSITY
Inventor: Younghun JO , Yoonsik CHOE , Shinhaeng KIM , Youngsu MOON , Byungseok MIN , Gihwan LEE , Sangsu LEE
Abstract: According to an embodiment of the disclosure, an electronic apparatus may include: a display configured to display an image; and a processor configured to: adjust, for each of sub areas having a specified size in an image quality degradation anticipation area of an image, a pixel value of at least one adjustment pixel among a plurality of pixels included in each sub area, and change the adjustment pixel into another pixel among the plurality of pixels, while maintaining a representative value of the plurality of pixels included in each sub area.
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公开(公告)号:US20220027791A1
公开(公告)日:2022-01-27
申请号:US17497193
申请日:2021-10-08
Inventor: Wonseok SONG , Wonchul SON , Wonjun HWANG , Gangmo KOO , Youngbin KIM , Youngsu MOON , Huijung LEE , Younghun JO
Abstract: An electronic device is disclosed. The electronic device may comprise: a memory in which information on a first artificial intelligence model learned through first learning data and information on a second artificial intelligence model learned through the first learning data are stored; and a processor connected to the memory to control the electronic device, wherein the processor is configured to: input second learning data to each of the first artificial intelligence model and the second artificial intelligence model and relearns the second artificial intelligence model on the basis of an output of each of a plurality of first layers included in the first artificial intelligence model and an output of each of a plurality of second layers included in the second artificial intelligence model, each of the plurality of first layers includes a plurality of two-dimensional filters, and each of the plurality of second layers includes a plurality of filters obtained by reducing the size of each of the plurality of two-dimensional filters of a corresponding first layer.
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公开(公告)号:US20200349675A1
公开(公告)日:2020-11-05
申请号:US16734001
申请日:2020-01-03
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Seungho PARK , Youngsu MOON
Abstract: An electronic apparatus is disclosed. The electronic apparatus includes a memory storing at least one instruction, and a processor, electrically connected to the memory, configured to, by executing the instruction, obtain, from an input image, a noise map corresponding to the input image; provide the input image to an input layer of a learning network model including a plurality of layers, the learning network model being an artificial intelligence (AI) model that is obtained by learning, through an AI algorithm, a relationship between a plurality of sample images, a respective noise map of each of the plurality of sample images, and an original image corresponding to the plurality of sample images; provide the noise map to at least one intermediate layer among the plurality of layers; and obtain an output image based on a result from providing the input image and the noise map to the learning network model.
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公开(公告)号:US20200211234A1
公开(公告)日:2020-07-02
申请号:US16399018
申请日:2019-04-30
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Hyungjun LIM , Taegyoung AHN , Youngsu MOON
Abstract: Disclosed is an image processing apparatus and a method of operating the same. The image processing apparatus includes: a memory storing information on at least one random patch; and at least one processor configured to: obtain correlations between a pixel block included in an input image and each of a plurality of random patches obtained from the information on the at least one random patch, obtain weights respectively for the plurality of random patches on a basis of the obtained correlations and apply the weights respectively to the plurality of random patches, and obtain an output image by applying, to the pixel block, the plurality of random patches to which the weights are respectively applied.
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