公开(公告)号：US20220329724A1

公开(公告)日：2022-10-13

申请号：US17846138

申请日：2022-06-22

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Hyungjun LIM

IPC: H04N5/235 ,  H04N5/357 ,  H04N5/347

Abstract: An electronic apparatus is provided. The electronic apparatus includes a display and a processor configured to obtain a low-frequency variation amount based on low-frequency information corresponding to a first frame and low-frequency information corresponding to a second frame, obtain a high-frequency variation amount based on high-frequency information corresponding to the first frame and high-frequency information corresponding to the second frame, obtain a weight based on a difference between the low-frequency variation amount and the high-frequency variation amount, apply the weight to a high-frequency frame corresponding to the second frame, obtain an output frame corresponding to the second frame, based on the second frame and a high-frequency frame to which the weight is applied, and control the display to display the obtained output frame.

公开(公告)号：US20200320669A1

公开(公告)日：2020-10-08

申请号：US16551987

申请日：2019-08-27

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Hyungjun LIM

IPC: G06T5/00

Abstract: An image processing apparatus filters an image and obtains a signal in a threshold range as a shadow. The image processing apparatus obtains boundary information by applying boundary detection filters associated with different directions. The shadow is applied, based on the boundary information, to a portion of the input image to provide an output image with improved sharpness.

公开(公告)号：US20200210766A1

公开(公告)日：2020-07-02

申请号：US16421021

申请日：2019-05-23

Applicant: SAMSUNG ELECTRONICS CO., LTD. ,  SOGANG UNIVERSITY RESEARCH & BUSINESS DEVELOPMENT FOUNDATION

Inventor： Hyungjun LIM ,  Suk-Ju Kang ,  Seung Joon Lee ,  Youngsu Moon ,  Siyeong Lee ,  Sung In Cho

IPC: G06K9/62 ,  G06K9/46 ,  G06N3/08

Abstract: An image processing apparatus is provided. The image processing apparatus includes a memory configured to store at least one instruction; and a processor configured to read the at least one instruction and configured to, according to the at least one instruction: apply a learning network model to an input image frame and acquire information on an area of interest; and acquire an output image frame by retargeting the input image frame based on the acquired information on the area of interest. The learning network model is a model that is trained to acquire the information on the area of interest in the input image frame.