The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 03, 2020

Filed:

Sep. 13, 2019
Applicant:

Samsung Electronics Co., Ltd., Suwon-si, KR;

Inventors:

Jaehwan Kim, Suwon-si, KR;

Jongseok Lee, Suwon-si, KR;

Sunyoung Jeon, Suwon-si, KR;

Kwangpyo Choi, Suwon-si, KR;

Minseok Choi, Suwon-si, KR;

Quockhanh Dinh, Suwon-si, KR;

Youngo Park, Suwon-si, KR;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 9/00 (2006.01); G06T 3/40 (2006.01); H04N 19/85 (2014.01);
U.S. Cl.
CPC ...
G06T 9/002 (2013.01); G06T 3/4046 (2013.01); H04N 19/85 (2014.11);
Abstract

Provided is an artificial intelligence (AI) decoding apparatus includes: a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory, the processor is configured to: obtain AI data related to AI down-scaling an original image to a first image; obtain image data corresponding to an encoding result on the first image; obtain a second image corresponding to the first image by performing a decoding on the image data; obtain deep neural network (DNN) setting information among a plurality of DNN setting information from the AI data; and obtain, by an up-scaling DNN, a third image by performing the AI up-scaling on the second image, the up-scaling DNN being configured with the obtained DNN setting information, wherein the plurality of DNN setting information comprises a parameter used in the up-scaling DNN, the parameter being obtained through joint training of the up-scaling DNN and a down-scaling DNN, and wherein the down-scaling DNN is used to obtain the first image from the original image.


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