Abstract: Methods and apparatuses to encode both high dynamic range images and low dynamic range images. The input video may also convert the high dynamic range image to an image of lower luminance dynamic range by applying either a scaling the high dynamic range image to a predetermined scale of the luma axis or by applying a sensitivity tone mapping which changes the brightnesses of pixel colors falling within a subrange or by applying a gamma function or by applying an arbitrary monotonically increasing function mapping the lumas.

Abstract: To enable a high quality HDR video communication, which can work by sending corresponding LDR images potentially via established LDR video communication technologies, which works well in practical situations, applicant has invented a HDR video decoder (600, 1100) arranged to calculate a HDR image (Im_RHDR) based on applying to a received 100 nit standard dynamic range image (Im_RLDR) a set of luminance transformation functions, the functions comprising at least a coarse luminance mapping (FC), which is applied by a dynamic range optimizer (603), and a mapping of the darkest value (0) of an intermediate luma (Y?HPS), being output of the dynamic range optimizer, to a received black offset value (Bk_off) by a range stretcher (604), the video decoder comprising a gain limiter (611, 1105) arranged to apply an alternate luminance transformation function to calculate a subset (502) of the darkest luminances of the HDR image, from corresponding darkest lumas (Y?_in) of the standard dynamic range image.

Abstract: A method and apparatus analyze a difference of at least two gradings of an image on the basis of: obtaining a first graded picture (LDR) with a first luminance dynamic range; obtaining data encoding a grading of a second graded picture (HDR) with a second luminance dynamic range, different from the first luminance dynamic range; and determining a grading difference data structure (DATGRAD) on the basis of at least the data encoding the grading of the second graded picture (HDR), which allows more intelligently adaptive encoding of the imaged scenes, and consequently also better use of those pictures, such as higher quality rendering under various rendering scenarios.

Abstract: To enable a good HDR image or video coding technology, being able to yield high dynamic range images as well as low dynamic range images, we invented a method of encoding a high dynamic range image (M_HDR), comprising the steps of: converting the high dynamic range image to an image of lower luminance dynamic range (LDR_o) by applying a) scaling the high dynamic range image to a predetermined scale of the luma axis such as [0,1], b) applying a sensitivity tone mapping which changes the brightnesses of pixel colors falling within at least a subrange comprising the darker colors in the high dynamic range image, c) applying a gamma function, and d) applying an arbitrary monotonically increasing function mapping the lumas resulting from performing the steps b and c to output lumas of the lower dynamic range image (LDR_o); and outputting in an image signal (S_im) a codification of the pixel colors of the lower luminance dynamic range image (LDR_o), and outputting in the image signal (S_im) values encoding the func

Abstract: To enable a high quality HDR video communication, which can work by sending corresponding LDR images potentially via established LDR video communication technologies, which works well in practical situations, applicant has invented a HDR video decoder (600, 1100) arranged to calculate a HDR image (Im_RHDR) based on applying to a received 100 nit standard dynamic range image (Im_RLDR) a set of luminance transformation functions, the functions comprising at least a coarse luminance mapping (FC), which is applied by a dynamic range optimizer (603), and a mapping of the darkest value (0) of an intermediate luma (Y?HPS), being output of the dynamic range optimizer, to a received black offset value (Bk_off) by a range stretcher (604), the video decoder comprising a gain limiter (611, 1105) arranged to apply an alternate luminance transformation function to calculate a subset (502) of the darkest luminances of the HDR image, from corresponding darkest lumas (Y?_in) of the standard dynamic range image.

Abstract: To enable a high quality HDR video communication, which can work by sending corresponding LDR images potentially via established LDR video communication technologies, which works well in practical situations, applicant has invented a HDR video decoder (600, 1100) arranged to calculate a HDR image (Im_RHDR) based on applying to a received 100 nit standard dynamic range image (Im_RLDR) a set of luminance transformation functions, the functions comprising at least a coarse luminance mapping (FC), which is applied by a dynamic range optimizer (603), and a mapping of the darkest value (0) of an intermediate luma (Y?HPS), being output of the dynamic range optimizer, to a received black offset value (Bk_off) by a range stretcher (604), the video decoder comprising a gain limiter (611, 1105) arranged to apply an alternate luminance transformation function to calculate a subset (502) of the darkest luminances of the HDR image, from corresponding darkest lumas (Y?_in) of the standard dynamic range image.

Abstract: To enable a good HDR image or video coding technology, being able to yield high dynamic range images as well as low dynamic range images, we invented a method of encoding a high dynamic range image (M_HDR), comprising the steps of: converting the high dynamic range image to an image of lower luminance dynamic range (LDR_o) by applying a) scaling the high dynamic range image to a predetermined scale of the luma axis such as [0,1], b) applying a sensitivity tone mapping which changes the brightnesses of pixel colors falling within at least a subrange comprising the darker colors in the high dynamic range image, c) applying a gamma function, and d) applying an arbitrary monotonically increasing function mapping the lumas resulting from performing the steps b and c to output lumas of the lower dynamic range image (LDR_o); and outputting in an image signal (S_im) a codification of the pixel colors of the lower luminance dynamic range image (LDR_o), and outputting in the image signal (S_im) values encoding the f

Abstract: To enable better color and in particular color saturation control for HDR image handling systems which need to do luminance dynamic range conversion, e.g.

Abstract: To enable a good HDR image or video coding technology, being able to yield high dynamic range images as well as low dynamic range images, we invented a method of encoding a high dynamic range image (M_HDR), comprising the steps of: converting the high dynamic range image to an image of lower luminance dynamic range (LDR_o) by applying a) scaling the high dynamic range image to a predetermined scale of the luma axis such as [0,1], b) applying a sensitivity tone mapping which changes the brightnesses of pixel colors falling within at least a subrange comprising the darker colors in the high dynamic range image, c) applying a gamma function, and d) applying an arbitrary monotonically increasing function mapping the lumas resulting from performing the steps b and c to output lumas of the lower dynamic range image (LDR_o); and outputting in an image signal (S_im) a codification of the pixel colors of the lower luminance dynamic range image (LDR_o), and outputting in the image signal (S_im) values encoding the f

Abstract: To allow better quality rendering of video on any display, a method is proposed of encoding, in addition to video data (VID), additional data (DD) comprising at least one change time instant (TMA_1) indicating a change in time of a characteristic luminance (CHRLUM) of the video data, which characteristic luminance summarizes the set of luminances of pixels in an image of the video data, the method comprising: generating on the basis of the video data (VID) descriptive data (DED) regarding the characteristic luminance variation of the video, the descriptive data comprising at least one change time instant (TMA_1), and encoding and outputting the descriptive data (DED) as additional data (DD).

Abstract: This invention provides a process which allows better quality rendering of video on any display. The process proposes encoding, video data and additional data. The additional data includes a change time instant. The change time instant can be used to indicate a change in time of a characteristic luminance. The characteristic luminance summarizes the set of luminances of pixels in an image of the video data. The process includes generating on descriptive data based on the video data and encoding and outputting the descriptive data as additional data.

Abstract: To enable practical and quick generation of a family of good looking HDR gradings for various displays on which the HDR image may need to be shown, we describe color transformation apparatus (201) to calculate resultant colors (R2, G2, B2) of pixels of an output image (IM_MDR) for a display with a display peak brightness (PB_D) starting from input colors (R,G,B) of pixels of an input image (Im_in) having a maximum luma code corresponding to a first image peak brightness (PB_IM1) which is different from the display peak brightness, characterized in that the color transformation apparatus comprises: a color transformation determination unit (102) arranged to determine a color transformation (TMF; g) from color processing specification data (MET_1) comprising at least one tone mapping function (CC) for at least a range of pixel luminances received via a metadata input (116), which color transformation specifies the calculation of at least some pixel colors of an image (IM_GRAD_LXDR) having corresponding to it

Abstract: A method and apparatus analyze a difference of at least two gradings of an image on the basis of: obtaining a first graded picture (LDR) with a first luminance dynamic range; obtaining data encoding a grading of a second graded picture (HDR) with a second luminance dynamic range, different from the first luminance dynamic range; and determining a grading difference data structure (DATGRAD) on the basis of at least the data encoding the grading of the second graded picture (HDR), which allows more intelligently adaptive encoding of the imaged scenes, and consequently also better use of those pictures, such as higher quality rendering under various rendering scenarios.

Abstract: To enable better color and in particular color saturation control for HDR image handling systems which need to do luminance dynamic range conversion, e.g.

Abstract: The method of analyzing a difference of at least two gradings of an image on the basis of: obtaining a first graded picture (LDR) with a first luminance dynamic range; obtaining data encoding a grading of a second graded picture (HDR) with a second luminance dynamic range, different from the first luminance dynamic range; determining a grading difference data structure (DATGRAD) on the basis of at least the data encoding the grading of the second graded picture (HDR), allows more intelligently adaptive encoding of the imaged scenes, and consequently also better use of those pictures, such as higher quality rendering under various rendering scenarios.

Abstract: To enable practical and quick generation of a family of good looking HDR gradings for various displays on which the HDR image may need to be shown, we describe color transformation apparatus (201) to calculate resultant colors (R2, G2, B2) of pixels of an output image (IM_MDR) for a display with a display peak brightness (PB_D) starting from input colors (R,G,B) of pixels of an input image (Im_in) having a maximum luma code corresponding to a first image peak brightness (PB_IM1) which is different from the display peak brightness, characterized in that the color transformation apparatus comprises: a color transformation determination unit (102) arranged to determine a color transformation (TMF; g) from color processing specification data (MET_1) comprising at least one tone mapping function (CC) for at least a range of pixel luminances received via a metadata input (116), which color transformation specifies the calculation of at least some pixel colors of an image (IM_GRAD_LXDR) having corresponding to it

Abstract: To enable better color and in particular color saturation control for HDR image handling systems which need to do luminance dynamic range conversion, e.g.

Abstract: To allow better quality rendering of video on any display, a method is proposed of encoding, in addition to video data (VID), additional data (DD) comprising at least one change time instant (TMA_1) indicating a change in time of a characteristic luminance (CHRLUM) of the video data, which characteristic luminance summarizes the set of luminances of pixels in an image of the video data, the method comprising: generating on the basis of the video data (VID) descriptive data (DED) regarding the characteristic luminance variation of the video, the descriptive data comprising at least one change time instant (TMA_1), and encoding and outputting the descriptive data (DED) as additional data (DD).

Abstract: To allow the needed versatile image or video combination now that HDR videos of considerably different luminance characteristics are appearing, the apparatus (301) for combining two images or two videos of images (Im_HDR, Im_LDR), one of them being a high dynamic range image or video, the apparatus comprising: —a dynamic range establishing unit (302) arranged to establish a combination luminance dynamic range (CombRng), being characterized by at least a maximum luminance (LMC) which is determined based on at least one of: a maximum luminance of at least one of the two images or the two videos of images, and a peak brightness of a display for rendering the two images or the two videos of images, the dynamic range establishing unit further comprising a luminance anchor determining unit (303), arranged to determine an anchor luminance (anc) in the combination luminance dynamic range (CombRng), —a color transformation unit (310), arranged to perform at least a luminance transformation on at least one of the two i

Abstract: To enable a high quality HDR video communication, which can work by sending corresponding LDR images potentially via established LDR video communication technologies, which works well in practical situations, applicant has invented a HDR video decoder (600, 1100) arranged to calculate a HDR image (Im_RHDR) based on applying to a received 100 nit standard dynamic range image (Im_RLDR) a set of luminance transformation functions, the functions comprising at least a coarse luminance mapping (FC), which is applied by a dynamic range optimizer (603), and a mapping of the darkest value (0) of an intermediate luma (Y?HPS), being output of the dynamic range optimizer, to a received black offset value (Bk_off) by a range stretcher (604), the video decoder comprising a gain limiter (611, 1105) arranged to apply an alternate luminance transformation function to calculate a subset (502) of the darkest luminances of the HDR image, from corresponding darkest lumas (Y?_in) of the standard dynamic range image.