Abstract: One embodiment provides a method comprising determining metadata corresponding to an input image, determining a black level of a display device and a peak luminance value of the display device, and determining a tone mapping function that adaptively compensates for the black level of the display device based on the metadata, the black level of the display device, and the peak luminance value of the display device. The metadata comprises a distribution of luminance values in the input image. The black level of the display device and the peak luminance value of the display device represent a lowest luminance value and a highest luminance value, respectively, achievable on the display device. The method further comprises applying the tone mapping function to the input image to generate a tone-mapped image that adaptively compensates for the black level of the display device and provided to the display device for presentation.

Abstract: A computer-implemented method includes performing analysis to determine information associated with a high dynamic range (HDR) media content item. A standard dynamic range (SDR) version of the HDR media content item is derived using HDR metadata. The derivation including encoding the HDR media content item to SDR content and normalizing data of the SDR content. The HDR metadata and the SDR version of the HDR media content item are transmitted with embedding of the HDR metadata within a protocol with the SDR version to a storage service. The HDR metadata and the SDR version are caused to be received at a display device. The SDR version is converted to HDR per incremental portion with a dynamic range bounded based on the HDR metadata of the protocol.

Abstract: One embodiment provides a method comprising determining metadata corresponding to an input image, determining a black level of a display device and a peak luminance value of the display device, and determining a tone mapping function that adaptively compensates for the black level of the display device based on the metadata, the black level of the display device, and the peak luminance value of the display device. The metadata comprises a distribution of luminance values in the input image. The black level of the display device and the peak luminance value of the display device represent a lowest luminance value and a highest luminance value, respectively, achievable on the display device. The method further comprises applying the tone mapping function to the input image to generate a tone-mapped image that adaptively compensates for the black level of the display device and provided to the display device for presentation.

Abstract: A computer-implemented method includes accessing a high dynamic range (HDR) media content item. Statistical analysis is performed to determine statistical information associated with the HDR media content item at each incremental portion of the HDR media content item. Metadata for each incremental portion of the HDR media content item is generated. A standard dynamic range (SDR) version of the content is derived using the HDR metadata. The metadata and an SDR version of the HDR media content item is transmitted to a storage service. The metadata and the SDR version are caused to be received at a display device. The SDR version is converted to HDR with a dynamic range bounded based on the metadata.

Abstract: A computer-implemented method includes accessing a high dynamic range (HDR) media content item. Statistical analysis is performed to determine statistical information associated with the HDR media content item at each incremental portion of the HDR media content item. Metadata for each incremental portion of the HDR media content item is generated. A standard dynamic range (SDR) version of the content is derived using the HDR metadata. The metadata and an SDR version of the HDR media content item is transmitted to a storage service. The metadata and the SDR version are caused to be received at a display device. The SDR version is converted to HDR with a dynamic range bounded based on the metadata.

Abstract: One embodiment provides a method comprising receiving an input content, and receiving ambient contextual data indicative of one or more ambient lighting conditions of an environment including a display device. The input content has corresponding metadata that at least partially represents a creative intent indicative of how the input content is intended to be viewed. The method further comprises adaptively correcting the input content based on the ambient contextual data to preserve the creative intent, and providing the corrected input content to the display device for presentation. The adaptively correcting comprises applying automatic white balancing to the input content to correct color tone of the input content.

Abstract: One embodiment provides a method comprising determining metadata corresponding to an input image, determining a black level of a display device and a peak luminance value of the display device, and determining a tone mapping function that adaptively compensates for the black level of the display device based on the metadata, the black level of the display device, and the peak luminance value of the display device. The metadata comprises a distribution of luminance values in the input image. The black level of the display device and the peak luminance value of the display device represent a lowest luminance value and a highest luminance value, respectively, achievable on the display device. The method further comprises applying the tone mapping function to the input image to generate a tone-mapped image that adaptively compensates for the black level of the display device and provided to the display device for presentation.

Abstract: One embodiment provides a method comprising determining multi-dimensional metadata corresponding to an input image, and determining ambient light information indicative of a level of ambient light in an ambient environment of a display device. The multi-dimensional metadata comprises a cumulative distribution function (CDF) of pixels in the input image. The method further comprises determining, based on the multi-dimensional metadata and the ambient light information, one or more gains that adaptively compensate for the level of ambient light in the ambient environment. The method further comprises generating a tone mapping function based on the one or more gains, and applying the tone mapping function to the input image to generate a tone-mapped image that adaptively compensates for the level of ambient light in the ambient environment. The tone-mapped image is provided to the display device for presentation.

Abstract: One embodiment provides a method comprising determining multi-dimensional metadata corresponding to an input image, and determining ambient light information indicative of a level of ambient light in an ambient environment of a display device. The multi-dimensional metadata comprises a cumulative distribution function (CDF) of pixels in the input image. The method further comprises determining, based on the multi-dimensional metadata and the ambient light information, one or more gains that adaptively compensate for the level of ambient light in the ambient environment. The method further comprises generating a tone mapping function based on the one or more gains, and applying the tone mapping function to the input image to generate a tone-mapped image that adaptively compensates for the level of ambient light in the ambient environment. The tone-mapped image is provided to the display device for presentation.

Abstract: One embodiment provides a method comprising determining metadata corresponding to an input image, determining a black level of a display device and a peak luminance value of the display device, and determining a tone mapping function that adaptively compensates for the black level of the display device based on the metadata, the black level of the display device, and the peak luminance value of the display device. The metadata comprises a distribution of luminance values in the input image. The black level of the display device and the peak luminance value of the display device represent a lowest luminance value and a highest luminance value, respectively, achievable on the display device. The method further comprises applying the tone mapping function to the input image to generate a tone-mapped image that adaptively compensates for the black level of the display device and provided to the display device for presentation.

Abstract: One embodiment provides a method comprising determining multi-dimensional metadata corresponding to an input image, and determining ambient light information indicative of a level of ambient light in an ambient environment of a display device. The multi-dimensional metadata comprises a cumulative distribution function (CDF) of pixels in the input image. The method further comprises determining, based on the multi-dimensional metadata and the ambient light information, one or more gains that adaptively compensate for the level of ambient light in the ambient environment. The method further comprises generating a tone mapping function based on the one or more gains, and applying the tone mapping function to the input image to generate a tone-mapped image that adaptively compensates for the level of ambient light in the ambient environment. The tone-mapped image is provided to the display device for presentation.

Abstract: A method for video tone mapping includes receiving an overlay indication from an input data stream indicating whether a graphic is being overlaid on image data for a High Dynamic Range (HDR) scene. Based on the overlay indication, a hardware processor processes a video stream using a first tone mapping function to generate a first tone mapped video, or a second tone mapping function to generate a second tone mapped video.

Abstract: A method for video tone mapping includes receiving an overlay indication from an input data stream indicating whether a graphic is being overlaid on image data for a High Dynamic Range (HDR) scene. Based on the overlay indication, a hardware processor processes a video stream using a first tone mapping function to generate a first tone mapped video, or a second tone mapping function to generate a second tone mapped video.