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:
Jan. 04, 2022

Filed:

Feb. 06, 2018
Applicant:

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

Inventors:

Young-o Park, Seoul, KR;

Jae-hwan Kim, Yongin-si, KR;

Jong-seok Lee, Suwon-si, KR;

Sun-young Jeon, Anyang-si, KR;

Jeong-hoon Park, Seoul, KR;

Kwang-pyo Choi, Gwacheon-si, KR;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 19/117 (2014.01); H04N 19/105 (2014.01); H04N 19/65 (2014.01); H04N 19/82 (2014.01); G06N 20/00 (2019.01); G06N 3/08 (2006.01); G06T 9/00 (2006.01);
U.S. Cl.
CPC ...
H04N 19/117 (2014.11); G06N 3/084 (2013.01); G06N 20/00 (2019.01); G06T 9/002 (2013.01); H04N 19/105 (2014.11); H04N 19/65 (2014.11); H04N 19/82 (2014.11);
Abstract

Provided is in-loop filtering technology using a trained deep neural network (DNN) filter model. An image decoding method according to an embodiment includes receiving a bitstream of an encoded image, generating reconstructed data by reconstructing the encoded image, obtaining information about a content type of the encoded image from the bitstream, determining a deep neural network (DNN) filter model trained to perform in-loop filtering by using at least one computer, based on the information about the content type, and performing the in-loop filtering by applying the reconstructed data to the determined DNN filter model.


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