Video image component prediction method and device, and computer storage medium

Abstract

The embodiment of the invention discloses a video image component prediction method and device, and a computer storage medium. The prediction method comprises the following steps: acquiring a first image component adjacent reference value and a first image component reconstruction value corresponding to a current coding block, wherein the first image component adjacent reference value is used for characterizing a first image component parameter corresponding to an adjacent reference point of the current coding block, and the first image component reconstruction value is used for characterizing a reconstruction parameter of one or more first image components corresponding to the current coding block; determining a correlation coefficient according to the first image component adjacent reference value and the first image component reconstruction value, wherein the correlation coefficient is used for characterizing the image component deviation degree between the current coding block and the adjacent reference point; inputting the correlation coefficients into a preset weight calculation model to obtain a weight coefficient corresponding to the adjacent reference point; determining a scale factor according to the weight coefficient; and obtaining a second image component predicted value corresponding to the current coding block through the scale factor.

Description

[0001] This application is a PCT international patent application PCT / CN2018 / 099703 with an application date of August 9, 2018, which entered the Chinese national phase. The Chinese patent application number 201880096257.8, the title of the invention is "Prediction method and device for video image components, and computer storage medium " divisional application. technical field [0002] Embodiments of the present application relate to intra-frame prediction technologies in the field of video coding, and in particular, to a method and device for predicting video image components, and a computer storage medium. Background technique [0003] In the next-generation video coding standard H.266 or Versatile Video Coding (VVC), the color component linear model prediction method (Cross-component Linear Model Prediction, CCLM) can be used to realize the brightness value to chroma value or color The prediction between luminance values, specifically, the linear regression method can b...

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Problems solved by technology

[0004] However, when constructing the linear model, the factors considered are not comprehensive enough. For example, when predicting the chromaticity value with the luminance value, most of them consider the factors of the adjacent reference luminance value and the adjacent reference chromaticity value; When predicting between chroma values, most of them consider the factors of adjacent reference chroma components

Therefore, once there is a large deviation between the adjacent reference luma value and the parameter corresponding to the current coding block, or there is a large deviation between the adjacent reference chrominance component and the parameter corresponding to the current coding block, the calculated linear model will be different from The expected model deviates, which reduces the prediction accuracy of the chroma prediction value of the current coding block, causing a large deviation between the chroma prediction value and the real chroma value

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