Cross-component adaptive loop filter
US-11765368-B2 · Sep 19, 2023 · US
US12184872B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12184872-B2 |
| Application number | US-202318463416-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 8, 2023 |
| Priority date | Feb 3, 2020 |
| Publication date | Dec 31, 2024 |
| Grant date | Dec 31, 2024 |
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Methods, systems and apparatus for video processing including coding or decoding are described. One example method of video processing includes determining, for a conversion between a video region of a chroma component of a video and a bitstream of the video, a manner of applying a cross-component adaptive loop filtering (CC-ALF) operation to a first sample of the chroma component based on a position of a second sample associated with the first sample. The method also includes performing the conversion based on the determining.
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What is claimed is: 1. A method of processing video data, comprising: determining, for a conversion between a video region of a chroma component of a video and a bitstream of the video, a filter strength used in a cross-component loop filtering operation for a first sample of the video region, based on a first distance between the first sample and a chroma virtual boundary and a second distance between a corresponding luma sample of the first sample and a luma virtual boundary; and performing the conversion based on the filter strength, wherein in the cross-component loop filtering operation, reconstructed luma picture samples prior to a luma adaptive loop filtering process and a filtered reconstructed chroma picture sample after a chroma adaptive loop filtering process of the first sample are used to derive the cross-component filtered value of the first sample, and the filter strength is applied to the reconstructed luma picture samples. 2. The method of claim 1 , wherein the first sample is located at (x, y) relative to a top-left sample of the video region, and the corresponding luma sample of the first sample is located at (x×subWidthC, y×subHeightC), and wherein subWidthC and subHeightC are chroma subsampling rates in horizontal direction and vertical direction and the chroma subsampling rates are determined based on a color format of the video. 3. The method of claim 1 , wherein the video region satisfies that a bottom boundary of the video region is not a bottom boundary of a current picture including the video region, or a difference between a height of the current picture in units of luma samples and a vertical location of a corresponding luma sample of a top-left sample of the video region is greater than a size of a coding tree block in units of luma samples minus 4. 4. The method of claim 2 , wherein the cross-component loop filtering operation has a 4×3 filter shape, −yP1, yL, yP1, yP2 are y-coordinates of four sample rows in the 4×3 filter shape, whereby −yP1=−1, yL=0, yP1=1, yP2=2 and the corresponding luma sample of the first sample is in a row yL=0. 5. The method of claim 4 , wherein, in a case that a vertical location of the corresponding luma sample of the first sample is at CtbSizeY−3 or CtbSizeY−6 of a coding tree block, a luma sample (x, yP2) in a row at yP2 is padded using a luma sample (x, yP1) in a row at yP1, and wherein CtbSizeY is a size of the coding tree block in units of luma samples. 6. The method of claim 4 , wherein, in a case that a vertical location of the corresponding luma sample of the first sample is at CtbSizeY−4 or CtbSizeY−5, a luma sample (x, −yP1) in a row at −yP1 is padded using a luma sample (x, yL) in a row of the corresponding luma sample of the first sample, a luma sample (x, yP1) in a row at yP1 is padded using a luma sample (x, yL) in a row of the corresponding luma sample of the first sample, and a luma sample (x, yP2) in a row at yP2 is padded using a luma sample (x, yL) in a row of the corresponding luma sample of the first sample, and wherein CtbSizeY is a size of a coding tree block in units of luma samples. 7. The method of claim 1 , wherein the conversion comprises decoding the video from the bitstream. 8. The method of claim 1 , wherein the conversion comprises encoding the video into the bitstream. 9. An apparatus for processing video data comprising a processor and a non-transitory memory with instructions thereon, wherein the instructions upon execution by the processor, cause the processor to: determine, for a conversion between a video region of a chroma component of a video and a bitstream of the video, a filter strength used in a cross-component loop filtering operation for a first sample of the video region, based on a first distance between the first sample and a chroma virtual boundary and a second distance between a corresponding luma sample of the first sample and a luma virtual boundary; and perform the conversion based on the filter strength, wherein in the cross-component loop filtering operation, reconstructed luma picture samples prior to a luma adaptive loop filtering process and a filtered reconstructed chroma picture sample after a chroma adaptive loop filtering process of the first sample are used to derive the cross-component filtered value of the first sample, and the filter strength is applied to the reconstructed luma picture samples. 10. The apparatus of claim 9 , wherein the first sample is located at (x, y) relative to a top-left sample of the video region, and the corresponding luma sample of the first sample is located at (x×subWidthC, y×subHeightC), and wherein subWidthC and subHeightC are chroma subsampling rates in horizontal direction and vertical direction and the chroma subsampling rates are determined based on a color format of the video. 11. The apparatus of claim 9 , wherein the video region satisfies that a bottom boundary of the video region is not a bottom boundary of a current picture including the video region, or a difference between a height of the current picture in units of luma samples and a vertical location of a corresponding luma sample of a top-left sample of the video region is greater than a size of a coding tree block in units of luma samples minus 4. 12. The apparatus of claim 10 , wherein the cross-component loop filtering operation has a 4×3 filter shape, −yP1, yL, yP1, yP2 are y-coordinates of four sample rows in the 4×3 filter shape, whereby −yP1=−1, yL=0, yP1=1, yP2=2 and the corresponding luma sample of the first sample is in a row yL=0; wherein, in a case that a vertical location of the corresponding luma sample of the first sample is at CtbSizeY-3 or CtbSizeY-6 of a coding tree block, a luma sample (x, yP2) in a row at yP2 is padded using a luma sample (x, yP1) in a row at yP1, and wherein CtbSizeY is a size of the coding tree block in units of luma samples; or wherein, in a case that a vertical location of the corresponding luma sample of the first sample is at CtbSizeY−4 or CtbSizeY−5, a luma sample (x, −yP1) in a row at −yP1 is padded using a luma sample (x, yL) in a row of the corresponding luma sample of the first sample, a luma sample (x, yP1) in a row at yP1 is padded using a luma sample (x, yL) in a row of the corresponding luma sample of the first sample, and a luma sample (x, yP2) in a row at yP2 is padded using a luma sample (x, yL) in a row of the corresponding luma sample of the first sample, and wherein CtbSizeY is a size of a coding tree block in units of luma samples. 13. A non-transitory computer-readable storage medium storing instructions that cause a processor to: determine, for a conversion between a video region of a chroma component of a video and a bitstream of the video, a filter strength used in a cross-component loop filtering operation for a first sample of the video region, based on a first distance between the first sample and a chroma virtual boundary and a second distance between a corresponding luma sample of the first sample and a luma virtual boundary; and perform the conversion based on the filter strength, wherein in the cross-component loop filtering operation, reconstructed luma picture samples prior to a luma adaptive loop filtering process and a filtered reconstructed chroma picture sample after a chroma adaptive loop filtering process of the first sample are used to derive the cross-component filtered value of the first sample, and the filter strength is applied to the reconstructed luma picture samples. 14. The non-transitory computer-readable storage medium of claim 13 , wherein the first sample is located at (x, y) relative to a top-left sample of the video region, and the co
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