Intra prediction mode based image processing method, and apparatus therefor
US-2020236361-A1 · Jul 23, 2020 · US
Image prediction method and apparatus
US11039145B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11039145-B2 |
| Application number | US-201916662627-A |
| Country | US |
| Kind code | B2 |
| Filing date | Oct 24, 2019 |
| Priority date | Apr 28, 2017 |
| Publication date | Jun 15, 2021 |
| Grant date | Jun 15, 2021 |
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Abstract
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An image prediction method and a related product, where the image prediction method includes performing intra-frame prediction on a current block using a reference block to obtain an initial predicted pixel value of a pixel in the current block, and performing weighted filtering on the initial predicted pixel value of the pixel in the current block to obtain a predicted pixel value of the pixel in the current block. Weighting coefficients used for the weighted filtering include a horizontal weighting coefficient and a vertical weighting coefficient, and a first attenuation rate factor acting on the horizontal weighting coefficient is different from a second attenuation rate factor acting on the vertical weighting coefficient.
First claim
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What is claimed is: 1. An image prediction method, comprising: performing intra-frame prediction on a current block using a reference block to obtain an initial predicted pixel value of a pixel in the current block; and performing weighted filtering on the initial predicted pixel value to obtain a predicted pixel value of the pixel, wherein weighting coefficients used for the weighted filtering comprise a horizontal weighting coefficient and a vertical weighting coefficient, and wherein a first attenuation rate factor acting on the horizontal weighting coefficient is different from a second attenuation rate factor acting on the vertical weighting coefficient. 2. The image prediction method of claim 1 , wherein the first attenuation rate factor is different from the second attenuation rate factor when a difference between a horizontal texture feature and a vertical texture feature of the current block exceeds a difference threshold. 3. The image prediction method of claim 2 , wherein the horizontal texture feature or the vertical texture feature comprises at least one of a side length, an auto variance, or an edge acutance. 4. The image predication method of claim 2 , wherein performing the weighted filtering on the initial predicted pixel value comprises performing the weighted filtering on the initial predicted pixel value according to: p ″ [ x , y ] = { ( c top ⪢ [ y / d 2 ] ) r [ x , - 1 ] - ( c topleft ⪢ [ x / d 1 ] ) r [ - 1 , - 1 ] + ( c left ⪢ [ x / d 1 ] ) r [ - 1 , y ] + c cur p ′
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Classifications
- H04N19/117Primary
Filters, e.g. for pre-processing or post-processing (sub-band filter banks H04N19/635) · CPC title
- H04N19/14Primary
Coding unit complexity, e.g. amount of activity or edge presence estimation (H04N19/146 takes precedence) · CPC title
- H04N19/593Primary
involving spatial prediction techniques · CPC title
Incoming video signal characteristics or properties · CPC title
the region being a block, e.g. a macroblock · CPC title
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- What does patent US11039145B2 cover?
- An image prediction method and a related product, where the image prediction method includes performing intra-frame prediction on a current block using a reference block to obtain an initial predicted pixel value of a pixel in the current block, and performing weighted filtering on the initial predicted pixel value of the pixel in the current block to obtain a predicted pixel value of the pixel…
- Who is the assignee on this patent?
- Huawei Tech Co Ltd
- What technology area does this patent fall under?
- Primary CPC classification H04N19/117. Mapped technology areas include Electricity.
- When was this patent published?
- Publication date Tue Jun 15 2021 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).