US 12,034,922 B2
Systems and methods for reducing a reconstruction error in video coding based on a cross-component correlation
Kiran Mukesh Misra, Vancouver, WA (US); Frank Bossen, Vancouver, WA (US); and Christopher Andrew Segall, Vancouver, WA (US)
Assigned to SHARP KABUSHIKI KAISHA, Sakai (JP)
Appl. No. 17/621,860
Filed by Sharp Kabushiki Kaisha, Sakai (JP)
PCT Filed Jun. 23, 2020, PCT No. PCT/JP2020/024645
§ 371(c)(1), (2) Date Dec. 22, 2021,
PCT Pub. No. WO2020/262396, PCT Pub. Date Dec. 30, 2020.
Claims priority of provisional application 62/886,891, filed on Aug. 14, 2019.
Claims priority of provisional application 62/870,752, filed on Jul. 4, 2019.
Claims priority of provisional application 62/865,933, filed on Jun. 24, 2019.
Prior Publication US 2022/0248007 A1, Aug. 4, 2022
Int. Cl. H04N 19/117 (2014.01); H04N 19/132 (2014.01); H04N 19/186 (2014.01); H04N 19/70 (2014.01); H04N 19/82 (2014.01)
CPC H04N 19/117 (2014.11) [H04N 19/132 (2014.11); H04N 19/186 (2014.11); H04N 19/70 (2014.11); H04N 19/82 (2014.11)] 5 Claims
OG exemplary drawing
 
1. A method of filtering reconstructed video data, the method comprising:
inputting reconstructed luma component sample values prior to a luma adaptive loop filtering process in a filter chain into a cross component filtering process;
deriving cross component filter coefficients from a first syntax element in a slice header and coefficient syntax elements in an alf data syntax structure, wherein the first syntax element specifies an adaptation parameter set id and the alf data syntax structure is specified by the adaptation parameter set id;
deriving a refinement value by using the cross component filter coefficients and the reconstructed luma component sample values; and
modifying a reconstructed chroma component sample value by adding the refinement value, wherein
the reconstructed chroma component sample values have been filtered according to a chroma adaptive loop filtering process.