Chroma boost on SDR and HDR display adapted signals for SL-HDRx systems
A method comprising obtaining a current RGB image; classifying colors of pixels of the current RGB image in a plurality of classes; for each color class, determining data representative of said color class, comprising a dominant luminance value representative of a luminance at which a color in said class is predominant and determining from said data representative of said color class a value representative of a gain of chrominance representative of a margin for increasing a chrominance component in said color class; and, encoding the dominant luminance value and the value representative of the gain corresponding to each class as metadata representative of a Saturation Gain Function in a bitstream, said function defining a color correction to apply to a pixel in function of a luminance of said pixel.
1. A method comprising:
obtaining a current multi-components image;
obtaining a chrominance plane representative of a color gamut and dividing the chrominance plane in a plurality of chrominance sectors;
using tone mapped luma component and corrected normalized chrominance components derived from the current multi-components image to classify colors of pixels of the current multi-components image in the plurality of chrominance sectors;
for each chrominance sector, determining data representative of said chrominance sector, comprising a dominant luminance value representative of a luminance at which a color in said chrominance sector is predominant and determining from said data representative of said chrominance sector a value representative of a gain of chrominance representative of a maximum allowed chroma value for a chrominance component in said chrominance sector; and
encoding the dominant luminance value and the value representative of the gain corresponding to each chrominance sector as metadata representative of a Saturation Gain Function in a bitstream, said function defining a color correction to apply to a pixel of the current multi-components image in function of a luminance of said pixel.
2. The method of claim 1 , wherein the tone mapped luma component and the corrected normalized chrominance components of pixels of the current multi-components image are obtained by analyzing chrominance components of the current multi-components image, the analysis comprising for each pixel of at least a subset of pixels of the current multi-components image:
deriving a luma component from the components of said pixel;
applying a tone mapping to the derived luma component to obtain a tone mapped luma component;
deriving chrominance components from the components of said pixel; and
applying a joint normalization and color correction to the chrominance components to obtain corrected normalized chrominance components.
3. The method of claim 1 , wherein the current multi-components image is comprised in a video sequence and a temporal filtering is applied to the information representative of the chroma gain based on information representative of chroma gains computed for images of the video sequence preceding the current multi-components image.
4. The method of claim 3 , wherein the temporal filtering is reinitialized at a beginning of the video sequence or when a scene cut is identified in the video sequence.
5. The method of claim 1 , wherein the chrominance sectors are chrominance sectors around a pure primary and/or secondary color in the chrominance plane.
6. The method of claim 5 , wherein a combination of the chrominance sectors covers integrally the chrominance plane.
7. The method of claim 1 , wherein determining data representative of said chrominance sector comprises obtaining a histogram of luminance values of pixels of the current multi-components image in function of luminance values for the said chrominance sector.
8. The method of claim 7 , wherein only pixels corresponding to luminance values comprised in a predefined range of luminance values are used for obtaining the histogram.
9. The method of claim 7 , wherein the dominant luminance value corresponds to a luminance value for which there is a maximum of pixels in the histogram or a luminance value for which there is a maximum chrominance energy, a chrominance energy being computed for a bin of the histogram by multiplying a number of pixels corresponding to that bin by a maximum chroma value found at that bin or a luminance value for which there is a maximum average chrominance energy, an average chrominance energy being computed for a bin of the histogram by multiplying a number of pixels corresponding to that bin by a maximum chroma value found at that bin.
10. A device comprising electronic circuitry configured for:
obtaining a current multi-components image;
obtaining a chrominance plane representative of a color gamut and dividing the chrominance plane in a plurality of chrominance sectors;
using tone mapped luma component and corrected normalized chrominance components derived from the current multi-components image to classify colors of pixels of the current multi-components image in the plurality of chrominance sectors;
determining, for each chrominance sector, data representative of said chrominance sector, comprising a dominant luminance value representative of a luminance at which a color in said chrominance sector is predominant and determining from said data representative of said chrominance sector a value representative of a gain of chrominance representative of a maximum allowed chroma value for a chrominance component in said chrominance sector; and
encoding the dominant luminance value and the value representative of the gain corresponding to each chrominance sector as metadata representative of a Saturation Gain Function in a bitstream, said function defining a color correction to apply to a pixel of the current multi-components image in function of a luminance of said pixel.
11. The device of claim 10 , wherein the electronic circuitry is further configured for analyzing the chrominance components of the current multi-components image applied for each pixel of at least a subset of pixels of the current multi-components image to obtain the tone mapped luma component and the corrected normalized chrominance components of pixels of the current multi-components image, the analyzing comprising:
deriving a luma component from the components of said pixel;
applying a tone mapping to the derived luma component to obtain a tone mapped luma component;
deriving chrominance components from the components of said pixel; and
applying a joint normalization and color correction to the chrominance components to obtain corrected normalized chrominance components.
12. The device of claim 10 , wherein the current multi-components image is comprised in a video sequence and the electronic circuitry is further configured for applying a temporal filtering to the information representative of the chroma gain based on information representative of chroma gains computed for images of the video sequence preceding the current multi-components image.
13. The device of claim 12 , wherein the temporal filtering is reinitialized at a beginning of the video sequence or when a scene cut is identified in the video sequence.
14. The device of claim 10 , wherein the chrominance sectors are chrominance sectors around a pure primary and/or secondary color in the chrominance plane.
15. The device of claim 14 , wherein a combination of the chrominance sectors covers integrally the chrominance plane.
16. The device of claim 10 , wherein determining data representative of said chrominance sector comprises obtaining a histogram of luminance values of pixels of the current multi-components image in function of luminance values for the said chrominance sector.
17. The device of claim 16 , wherein only pixels corresponding to luminance values comprised in a predefined range of luminance values are used for obtaining the histogram.
18. The device of claim 16 , wherein the dominant luminance value corresponds to a luminance value for which there is a maximum of pixels in the histogram or a luminance value for which there is a maximum chrominance energy, a chrominance energy being computed for a bin of the histogram by multiplying a number of pixels corresponding to that bin by a maximum chroma value found at that bin or a luminance value for which there is a maximum average chrominance energy, an average chrominance energy being computed for a bin of the histogram by multiplying a number of pixels corresponding to that bin by a maximum chroma value found at that bin.
19. A non-transitory information storage medium storing program code instructions for implementing the method of claim 1 .