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:
Sep. 03, 2024

Filed:

Aug. 24, 2022
Applicant:

Lg Electronics Inc., Seoul, KR;

Inventors:

Naeri Park, Seoul, KR;

Junghak Nam, Seoul, KR;

Hyeongmoon Jang, Seoul, KR;

Assignee:

LG Electronics Inc., Seoul, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 19/52 (2014.01); H04N 19/105 (2014.01); H04N 19/132 (2014.01); H04N 19/176 (2014.01); H04N 19/577 (2014.01); H04N 19/70 (2014.01);
U.S. Cl.
CPC ...
H04N 19/52 (2014.11); H04N 19/105 (2014.11); H04N 19/132 (2014.11); H04N 19/176 (2014.11); H04N 19/577 (2014.11); H04N 19/70 (2014.11);
Abstract

An image decoding method includes: acquiring, from a bitstream, luma weight L0 flag information indicating whether there is an L0 prediction-related weight factor and luma weight L1 flag information indicating whether there is an L1 prediction-related weight factor; determining to apply decoder-side motion vector refinement (DMVR) to an L0 motion vector and L1 motion vector for a current block, when the luma weight L0 flag information and the luma weight L1 flag information are both zero; when it has been determined to apply DMVR, deriving a refined L0 motion vector and a refined L1 motion vector by applying the DMVR to the current block; deriving prediction samples for the current block on the basis of L0 prediction using the refined L0 motion vector and L1 prediction using the refined L1 motion vector; and generating reconstruction samples for the current block on the basis of the prediction samples.


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