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公开(公告)号:US11995795B2
公开(公告)日:2024-05-28
申请号:US17413404
申请日:2019-10-10
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Kyungmin Lim , Jaesung Lee , Tammy Lee
IPC: G06T3/40 , G06N3/04 , G06T3/4046 , G06T7/73
CPC classification number: G06T3/4046 , G06N3/04 , G06T7/73 , G06T2207/20016 , G06T2207/20081 , G06T2207/30168
Abstract: An image processing apparatus includes a memory storing one or more instructions, and a processor executing the one or more instructions stored in the memory, wherein the processor uses one or more deep neural networks to generate first feature maps from a first image, generate second feature maps for each of subpixels based on the first feature maps and position information of each of the subpixels arranged in a display, and determine result values for each of the subpixels based on the second feature maps.
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公开(公告)号:US11816817B2
公开(公告)日:2023-11-14
申请号:US17831032
申请日:2022-06-02
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Kyungmin Lim , Seunghyun Lee , Jaesung Lee , Sunil Lee
CPC classification number: G06T5/009 , G06T5/008 , G06T5/20 , G09G3/001 , G06T2207/20208 , G09G2320/029 , G09G2320/0209 , G09G2320/0276
Abstract: A method includes: obtaining a plurality of view images; identifying a representative value from among difference values between values of a plurality of sub-pixels corresponding to a first position in the plurality of view images and an intermediate value of a bit range of a display; determining filtering strength corresponding to the representative value, based on a correspondence map indicating a correspondence relationship between filtering strength and a difference value between a value of a sub-pixel and the intermediate value; and applying a filter having the determined filtering strength to the plurality of sub-pixels corresponding to the first position, wherein a value resulting from applying the filter having the determined filtering strength to the plurality of sub-pixels corresponding to the first position is included in a range of sub-pixel values according to the bit range of the display.
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公开(公告)号:US11575882B2
公开(公告)日:2023-02-07
申请号:US17135247
申请日:2020-12-28
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Bora Jin , Yeoul Lee , Jihye Lee , Kyungmin Lim , Jaesung Lee
IPC: H04N13/395 , H04N13/122 , G06N3/08 , G09G3/00 , H04N13/351 , H04N13/128
Abstract: An electronic apparatus includes a stacked display including a plurality of panels, and a processor configured to obtain first light field (LF) images of different viewpoints, input the obtained first LF images to an artificial intelligence model for converting an LF image into a layer stack, to obtain a plurality of layer stacks to which a plurality of shifting parameters indicating depth information in the first LF images are respectively applied, and control the stacked display to sequentially and repeatedly display, on the stacked display, the obtained plurality of layer stacks. The artificial intelligence model is trained by applying the plurality of shifting parameters that are obtained based on the depth information in the first LF images.
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公开(公告)号:US12072567B2
公开(公告)日:2024-08-27
申请号:US17432804
申请日:2021-08-03
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Jaehee Kwak , Jaesung Lee , Seyong Kwon , Youngjin Yoon , Kyungmin Lim , Kangwon Jeon , Bora Jin
IPC: G02F1/1335 , G02F1/13357 , G09G3/3208
CPC classification number: G02F1/133504 , G02F1/1336 , G09G3/3208 , G09G2300/023 , G09G2320/02
Abstract: A stacked display apparatus and a method of operating the same are provided. The stacked display apparatus includes a first display panel in a form of a first aperture shape, and a second display panel in a form of a second aperture shape that is different from the first aperture shape, the second display panel being stacked on the first display panel, and a ratio of a first maximum spatial frequency of the first aperture shape and a second maximum spatial frequency of the second aperture shape is outside a predetermined range.
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公开(公告)号:US11804155B2
公开(公告)日:2023-10-31
申请号:US17563559
申请日:2021-12-28
Applicant: Samsung Electronics Co., Ltd.
Inventor: Kyungmin Lim , Jaesung Lee , Bora Jin , Seyong Kwon , Daeyeong Kim , Sunil Lee , Kangwon Jeon
IPC: G09G3/30 , G09G3/36 , G09G3/00 , G02F1/1335
CPC classification number: G09G3/003 , G02F1/133514 , G02F1/133607 , G09G3/36 , G09G2300/023 , G09G2340/12
Abstract: A stacked display device and a control method thereof are provided. The stacked display device includes a display including a plurality of display panels, and a processor processing a layer image for providing an image to the display, wherein the display includes a backlight irradiating a light, a first panel including a lens for diffusing the light irradiated from the backlight, and for displaying an image of a single color, a second panel stacked on the first panel, and including a color filter for displaying a color image, and a third panel stacked on the second panel, and for displaying an image of a single color.
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公开(公告)号:US11961203B2
公开(公告)日:2024-04-16
申请号:US17264656
申请日:2019-07-29
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Kyungmin Lim , Jaesung Lee , Tammy Lee
IPC: G06T3/00 , G06F18/2413 , G06N3/04 , G06N3/08 , G06V10/764 , G06V10/82
CPC classification number: G06T3/00 , G06F18/2413 , G06N3/04 , G06N3/08 , G06V10/764 , G06V10/82
Abstract: An image processing device is disclosed. The image processing device includes: a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory, wherein the processor is further configured to obtain a first image and a classifier that indicates a purpose of image processing, and to process, by using a deep neural network (DNN), the first image according to the purpose indicated by the classifier, wherein the DNN processes input images according to different purposes.
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公开(公告)号:US11917124B2
公开(公告)日:2024-02-27
申请号:US17696423
申请日:2022-03-16
Applicant: Samsung Electronics Co., Ltd.
Inventor: Daeyeong Kim , Jaesung Lee , Kyungmin Lim , Seyong Kwon , Sunil Lee , Kangwon Jeon
IPC: H04N13/398 , H04N13/125 , H04N13/302 , G02B30/10
CPC classification number: H04N13/398 , G02B30/10 , H04N13/125 , H04N13/302
Abstract: A display apparatus and a controlling method thereof are provided. The display apparatus includes a display comprising a first display panel, a lens array disposed on the first display panel, and a second display panel disposed on the lens array; and a processor to, based on a plurality of light field (LF) images, obtain a left (L) image and a right (R) image to drive the display by time-multiplexing, correct a second L image to drive the second display panel among the L images based on a first R image to drive the first display panel among the R images, and correct a second R image to drive the second display panel among the R images based on the first L image to drive the first display panel among the L images, and display a stereoscopic image by driving the display by time-multiplexing based on the L image which includes the corrected second L image and the R image which includes the corrected second R image. The display apparatus of the disclosure may use an artificial intelligence model trained according to at least one of a rule-based model, a machine learning, a neural network, or a deep learning algorithm.
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公开(公告)号:US20210203917A1
公开(公告)日:2021-07-01
申请号:US17135247
申请日:2020-12-28
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Bora JIN , Yeoul Lee , Jihye Lee , Kyungmin Lim , Jaesung Lee
IPC: H04N13/395 , H04N13/122 , H04N13/351 , G09G3/00 , G06N3/08
Abstract: An electronic apparatus includes a stacked display including a plurality of panels, and a processor configured to obtain first light field (LF) images of different viewpoints, input the obtained first LF images to an artificial intelligence model for converting an LF image into a layer stack, to obtain a plurality of layer stacks to which a plurality of shifting parameters indicating depth information in the first LF images are respectively applied, and control the stacked display to sequentially and repeatedly display, on the stacked display, the obtained plurality of layer stacks. The artificial intelligence model is trained by applying the plurality of shifting parameters that are obtained based on the depth information in the first LF images.
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