公开(公告)号：US11756493B2

公开(公告)日：2023-09-12

申请号：US17583753

申请日：2022-01-25

Applicant: Samsung Electronics Co., Ltd.

Inventor： Jihye Lee ,  Bora Jin ,  Youngjin Yoon ,  Yeoul Lee ,  Jaesung Lee ,  Sunil Lee

IPC: G09G3/34 ,  G09G3/20

CPC classification number: G09G3/3433 ,  G09G3/2003 ,  G09G2300/023 ,  G09G2320/0686

Abstract: A stacked display device and a control method thereof are provided. The stacked display device includes a stacked display including a first panel and a second panel comprising a different transmittance from the first panel and a processor to obtain a first layer image to display an image on the first panel and a second layer image to display an image on the second panel, adjust brightness of the second layer image based on a ratio between a first transmittance for the first panel and a second transmittance for the second panel, and a pixel value of the second layer image, and control the stacked display to display the second layer image of which brightness is adjusted on the second panel while displaying the first layer image on the first panel.

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.

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.

公开(公告)号：US11948485B2

公开(公告)日：2024-04-02

申请号：US17567565

申请日：2022-01-03

Applicant: Samsung Electronics Co., Ltd.

Inventor： Bora Jin ,  Youngjin Yoon ,  Jihye Lee ,  Yeoul Lee ,  Sunil Lee ,  Jaesung Lee

IPC: G09G3/00

CPC classification number: G09G3/007 ,  G09G3/003 ,  G09G2300/023

Abstract: An electronic apparatus and a method for controlling thereof are provided. The method includes acquiring a first Light field (LF) image of different viewpoints, inputting the first LF image to a first artificial intelligence model to acquire a pixel shift value for converting pixels in the first LF image, converting the pixels in the first LF image according to the pixel shift value to acquire a second LF image, inputting the first LF image and the second LF image to a second artificial intelligence model for converting the LF image to a layer image to acquire the layer image, inputting the acquired layer image to a simulation model for restoring the LF image to acquire a third LF image, and learning the first artificial intelligence model and the second artificial intelligence model based on the second LF image and the third LF image.