Spatial illumination compensation on large areas
A reconstruction method comprising: obtaining ( 811 ) a region predictor for a current region of a picture based on a spatial prediction; obtaining ( 812 ) an information representative of a partitioning of the current region into sub-regions; reconstructing ( 813 ) at least one residual sub-region based on an intra prediction residual and an intra prediction mode and obtaining a reconstructed residual region from the at least one reconstructed residual sub-region, wherein all reference samples external to the current region used for reconstructing the at least one sub-region are set to zero before reconstructing the at least one residual sub-region; and, reconstructing ( 814 ) the current region based on the reconstructed residual region and on the region predictor by adding a final predictor obtained from the region predictor and the reconstructed residual region.
1. A method for decoding comprising:
obtaining a region predictor for a current region of a picture based on a spatial prediction;
obtaining an information representative of a partitioning of the current region into a plurality of sub-regions of samples;
for at least one sub-region of samples of the plurality, reconstructing a sub-region of residual values based on an intra prediction residual and an intra prediction mode signaled in video data for the sub-region of residual values, wherein values of reference samples external to the current region used for reconstructing a sub-region of residual values are modified before reconstructing the sub-region of residual values, and each intra predicted sub-region of residual values of the plurality is associated to an intra prediction mode independent of intra prediction modes associated to other intra predicted sub-regions of residual values of the plurality;
obtaining a reconstructed residual region from the at least one reconstructed sub-region of residual values; and
reconstructing the current region based on the reconstructed residual region and on the region predictor by combining a final predictor based on the region predictor and the reconstructed residual region.
2. The method according to claim 1 wherein obtaining the region predictor comprises obtaining the region predictor from a plurality of linear predictions, each linear prediction being based on parameters representative of illumination variations in the picture obtained from at least one region of the picture spatially neighboring the current region.
3. The method according to claim 1 wherein obtaining the region predictor comprises obtaining the region predictor based on a combination of a horizontal linear prediction and a vertical linear prediction, each linear prediction using samples of reconstructed regions neighboring the current region and at least one sample belonging to a non-reconstructed region.
4. The method according to claim 3 wherein the sample belonging to a non-reconstructed region is a bottom right sample of the current region in the current region or out of the current region.
5. The method according to claim 1 comprising obtaining a temporal predictor for the current region and wherein the final predictor is a weighted average of the region predictor and the temporal predictor.
6. The method according to claim 1 wherein the reconstructed residual region undergoes an inverse reshaping process before being used for reconstructing the current region.
7. The method according to claim 1 wherein values of all reference samples external to the current region used for reconstructing a sub-region of residual values are set to zero before reconstructing the at least one residual sub-region of residual values.
8. Non-transitory information storage medium storing program code instructions for implementing the method according to claim 1 .
9. A method for encoding comprising:
obtaining a region predictor for a current region of a picture based on a spatial prediction;
obtaining a residual region for the current region by subtracting a final predictor obtained from the region predictor from the current region;
partitioning the residual region into a plurality of sub-regions of residual values; and
for at least one sub-region of residual values of the plurality, intra predicting the sub-region of residual values, the intra predicting comprising:
determining an intra prediction mode for the sub-region of residual values;
determining an intra predictor for the sub-region of residual values based on the determined intra prediction mode; and
determining an intra residual for the sub-region of residual values as the difference between the sub-region of residual values and the intra predictor; and signaling the intra prediction mode and the intra residual in video data,
wherein values of reference samples external to the current region used for intra predicting at least one sub-region of residual values of the plurality are modified before intra predicting the sub-region of residual values and, each intra predicted sub-region of residual values of the plurality is associated to an intra prediction mode independent of intra prediction modes associated to other intra predicted sub-regions of residual values of the plurality.
10. The method according to claim 9 wherein obtaining the region predictor comprises obtaining the region predictor from a plurality of linear predictions, each linear prediction being based on parameters representative of illumination variations in the picture obtained from at least one region of the picture spatially neighboring the current region.
11. The method according to claim 9 wherein obtaining the region predictor comprises obtaining the region predictor based on a combination of a horizontal linear prediction and a vertical linear prediction, each linear prediction using samples of reconstructed regions neighboring the current region and at least one sample belonging to a non-reconstructed region.
12. The method according to claim 11 wherein the sample belonging to a non-reconstructed region is a bottom right sample of the current region in the current region or out of the current region.
13. The method according to claim 9 comprising obtaining a temporal predictor for the current region and wherein the final predictor is a weighted average of the region predictor and the temporal predictor.
14. The method according to claim 9 wherein the residual region undergoes a reshaping process before intra prediction of a sub-region of residual values.
15. The method according to claim 9 wherein values of all reference samples external to the current region used for intra predicting at least one sample of the residual region are set to zero before intra predicting a residual sub-region of residual values.
16. Non-transitory information storage medium storing program code instructions for implementing the method according to claim 9 .
17. A device comprising electronic circuitry configured for:
obtaining a region predictor for a current region of a picture based on a spatial prediction;
obtaining an information representative of a partitioning of the current region into a plurality of sub-regions of samples;
for at least one sub-region of samples of the plurality, reconstructing ( 813 ) a sub-region of residual values based on an intra prediction residual and an intra prediction mode signaled in video data for the sub-region of residual values, wherein values of reference samples external to the current region used for reconstructing a sub-region of residual values are modified before reconstructing the sub-region of residual values and, each intra predicted sub-region of residual values of the plurality is associated to an intra prediction mode independent of intra prediction modes associated to other intra predicted sub-regions of residual values of the plurality;
obtaining a reconstructed residual region from the at least one reconstructed sub-region of residual values; and
reconstructing the current region based on the reconstructed residual region and on the region predictor by combining a final predictor based on the region predictor and the reconstructed residual region.
18. The device according to claim 17 wherein the electronic circuitry being configured for obtaining the region predictor comprises the electronic circuitry being configured for obtaining the region predictor from a plurality of linear predictions, each linear prediction being based on parameters representative of illumination variations in the picture obtained from at least one region of the picture spatially neighboring the current region.
19. A device comprising electronic circuitry configured for:
obtaining a region predictor for a current region of a picture based on a spatial prediction;
obtaining a residual region for the current region by subtracting a final predictor obtained from the region predictor from the current region;
partitioning the residual region into a plurality of sub-regions of residual values; and
for at least one sub-region of residual values of the plurality, intra predicting the sub-region of residual values, the intra predicting comprising:
determining an intra prediction mode for the sub-region of residual values;
determining an intra predictor for the sub-region of residual values based on the determined intra prediction mode;
determining an intra residual for the sub-region of residual values as the difference between the sub-region of residual values and the intra predictor; and signaling the intra prediction mode and the intra residual in video data,
wherein values of reference samples external to the current region used for intra predicting at least one sub-region of residual values of the plurality are modified before intra predicting the sub-region of residual values and, each intra predicted sub-region of residual values of the plurality is associated to an intra prediction mode independent of intra prediction modes associated to other intra predicted sub-regions of residual values of the plurality.
20. The device according to claim 19 wherein the electronic circuitry being configured for obtaining the region predictor comprises the electronic circuitry being configured for obtaining the region predictor from a plurality of linear predictions, each linear prediction being based on parameters representative of illumination variations in the picture obtained from at least one region of the picture spatially neighboring the current region.