Luma-based chroma intra-prediction for video coding

Patent metadata

Field	Value
Publication number	US-9693070-B2
Application number	US-201213532556-A
Country	US
Kind code	B2
Filing date	Jun 25, 2012
Priority date	Jun 24, 2011
Publication date	Jun 27, 2017
Grant date	Jun 27, 2017

Abstract

A method for luma-based chroma intra-prediction in a video encoder or a video decoder is provided that includes down sampling a first reconstructed luma block of a largest coding unit (LCU), computing parameters α and β of a linear model using immediate top neighboring reconstructed luma samples and left neighboring reconstructed luma samples of the first reconstructed luma block and reconstructed neighboring chroma samples of a chroma block corresponding to the first reconstructed luma block, wherein the linear model is Pred C [x,y]=α·Rec L ′[x,y]+β, wherein x and y are sample coordinates, Pred C is predicted chroma samples, and Rec L ′ is samples of the down sampled first reconstructed luma block, and wherein the immediate top neighboring reconstructed luma samples are the only top neighboring reconstructed luma samples used, and computing samples of a first predicted chroma block from corresponding samples of the down sampled first reconstructed luma block using the linear model and the parameters.

First claim

What is claimed is:

1. A method for luma-based chroma intra-prediction in a video encoder or a video decoder, the method comprising:
receiving immediate top neighboring reconstructed luma samples of a first reconstructed luma block of a largest coding unit (LCU), at least some of the immediate top neighboring reconstructed luma samples being neighboring reconstructed luma samples from one or more inter-predicted prediction units (PUs);
replacing the neighboring reconstructed luma samples from the inter-predicted PUs with other samples without replacing second top neighboring reconstructed luma samples to generate padded immediate top neighboring reconstructed luma samples;
down sampling the padded immediate top neighboring reconstructed luma samples;
computing parameters α and β of a linear model using the down sampled padded immediate top neighboring reconstructed luma samples and left neighboring reconstructed luma samples of the first reconstructed luma block and reconstructed neighboring chroma samples of a chroma block corresponding to the first reconstructed luma block, and without using the second top neighboring reconstructed luma samples, wherein the linear model is Pred C [x,y]=α·Rec L ′[x,y]+β, wherein x and y are sample coordinates, Pred C is predicted chroma samples, and Rec L ′ is samples of the down sampled first reconstructed luma block, and wherein the immediate top neighboring reconstructed luma samples are the only top neighboring reconstructed luma samples used; and
computing samples of a first predicted chroma block from corresponding samples of the first reconstructed luma block using the linear model and the parameters.

2. The method of claim 1 , wherein the first reconstructed luma block is at a top border of the LCU.

3. The method of claim 2 , wherein the immediate top neighboring reconstructed luma samples are received from a top neighboring sample line buffer comprising a last row of reconstructed luma samples from each LCU of a row of LCUs immediately above the LCU.

4. The method of claim 1 , wherein the first reconstructed luma block is not at a top border of the LCU.

5. The method of claim 1 , wherein the left neighboring reconstructed luma samples are immediately left of immediately left neighboring reconstructed luma samples of the first reconstructed luma block.

6. The method of claim 2 , further comprising:
down sampling a second reconstructed luma block of the LCU, wherein the second reconstructed luma block is not at the top border of the LCU;
computing parameters α and β of the linear model using immediate top neighboring reconstructed luma samples, top neighboring reconstructed luma samples immediately above the immediate top neighboring reconstructed luma samples, and left neighboring reconstructed luma samples of the second reconstructed luma block and reconstructed neighboring chroma samples of a chroma block corresponding to the second reconstructed luma block; and
computing samples of a second predicted chroma block from corresponding samples of the down sampled second reconstructed luma block using the linear model and the parameters.

7. A digital system configured to perform luma-based chroma intra-prediction, the digital system comprising:
a memory for storing instructions related to luma-based chroma intra-prediction;
a processor for executing the instructions stored in the memory, wherein the processor is configured to:
receive immediate top neighboring reconstructed luma samples of a first reconstructed luma block of a largest coding unit (LCU), at least some of the immediate top neighboring reconstructed luma samples being neighboring reconstructed luma samples from one or more inter-predicted prediction units (PUs);
replace the neighboring reconstructed luma samples from the inter-predicted PUs with other samples without replacing second top neighboring reconstructed luma samples to generate padded immediate top neighboring reconstructed luma samples;
down sample the padded immediate top neighboring reconstructed luma samples;
compute parameters α and β of a linear model using the down sampled padded immediate top neighboring reconstructed luma samples and left neighboring reconstructed luma samples of the first reconstructed luma block and reconstructed neighboring chroma samples of a chroma block corresponding to the first reconstructed luma block, wherein the linear model is Pred C [x,y]=α·Rec L ′[x,y]+β, wherein x and y are sample coordinates, Pred C is predicted chroma samples, and Rec L ′ is samples of the down sampled first reconstructed luma block, and wherein the immediate top neighboring reconstructed luma samples are the only top neighboring reconstructed luma samples used; and
computing samples of a first predicted chroma block from corresponding samples of the first reconstructed luma block using the linear model and the parameters.

8. The digital system of claim 7 , wherein the first reconstructed luma block is at a top border of the LCU.

9. The digital system of claim 7 , wherein the first reconstructed luma block is not at a top border of the LCU.

10. The digital system of claim 7 , wherein the left neighboring reconstructed luma samples are immediately left of immediately left neighboring reconstructed luma samples of the first reconstructed luma block.

11. The digital system of claim 8 , wherein the processor is further configured to:
down sample a second reconstructed luma block of the LCU, wherein the second reconstructed luma block is not at the top border of the LCU;
compute parameters α and β of the linear model using immediate top neighboring reconstructed luma samples, top neighboring reconstructed luma samples immediately above the immediate top neighboring reconstructed luma samples, and left neighboring reconstructed luma samples of the second reconstructed luma block and reconstructed neighboring chroma samples of a chroma block corresponding to the second reconstructed luma block; and
compute samples of a second predicted chroma block from corresponding samples of the down sampled second reconstructed luma block using the linear model and the parameters.

12. The digital system of claim 8 , wherein the processor is further configured to:
store a last row of reconstructed luma samples from each LCU of a row of LCUs.

13. A non-transitory computer readable medium comprising instructions that, when executed in a digital system, cause the digital system to:
receive immediate top neighboring reconstructed luma samples of a first reconstructed luma block of a largest coding unit (LCU), at least some of the immediate top neighboring reconstructed luma samples being neighboring reconstructed luma samples from one or more inter-predicted prediction units (PUs);
replace the neighboring reconstructed luma samples from the inter-predicted PUs with other samples without replacing second top neighboring reconstructed luma samples to generate padded immediate top neighboring reconstructed luma samples;
down sample the padded immediate top neighboring reconstructed luma samples;
compute parameters α and β of a linear model using the down sampled padded immediate top neighboring reconstructed luma samples and left neighboring reconstructed luma samples of the first reconstructed luma block and reconstructed neighboring chroma samples of a chroma block corresponding to the first reconstructed luma block, wherein the linear model is Pred C [x,y]=α·Rec L ′[x,y]+β, wherein x and y are sample coordinates, Pred C is predicted chroma samples, and Rec L ′ is samples of the down sampled first reconstructed luma block, and wherein the immediate top neighboring reconstructed luma samples

Assignees

• Budagavi Madhukar
• Osamoto Akira
• Texas Instruments Inc

Inventors

• Budagavi Madhukar
• Osamoto Akira

Classifications

• H04N19/96

  Tree coding, e.g. quad-tree coding · CPC title

• H04N19/105 Primary

  Selection of the reference unit for prediction within a chosen coding or prediction mode, e.g. adaptive choice of position and number of pixels used for prediction · CPC title

• H04N19/186 Primary

  the unit being a colour or a chrominance component · CPC title

• H04N19/167

  Position within a video image, e.g. region of interest [ROI] · CPC title

• H04N19/59

  involving spatial sub-sampling or interpolation, e.g. alteration of picture size or resolution · CPC title