METHOD FOR REMOVING NOISE FROM UP-SCALED VIDEO BY MACHINE LEARNING-BASED DYNAMIC PARAMETERS

WIPO Patent Application WO/2019/132091

A1

A method for removing noise of up-scaled video by machine learning-based dynamic parameters according to the present invention comprises: an input step of inputting an object image from which noise is to be removed; a target selection step of selecting a current frame image from which the noise is to be removed, among the frame images constituting the object image, P (where P is a natural number greater than or equal to 1) preceding frame images which precede the current frame image, and Q (where Q is a natural number greater than or equal to 1) following frame images which follow the current frame image; a matching step of performing a motion estimation processing on the basis of a common object, and depending on the result thereof, creating a compensated frame image in which the P preceding frame images and the Q following frame images are motion-matched on the basis of the current frame image; a parameter calculation step of calculating a weight parameter (ai) for each frame by using the compensated frame image and the current frame image; and an operation processing step of removing the noise of the current frame image.

LEE JIN HAK (KR)
WHANG BOO GOON (KR)
KIM SEONG SOO (KR)

PCT/KR2018/000086

July 04, 2019

January 03, 2018

Click for automatic bibliography generation  

CABLE TV VOD CORP (KR)

H04N5/21; G06N3/08; G06N99/00

KR20170058277A	2017-05-26
KR20040024888A	2004-03-24
KR19980067578A	1998-10-15
KR20100020068A	2010-02-22
JP2003284076A	2003-10-03

JEONG, Young Chan (KR)

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