Abstract: In one embodiment, a dual modulator display systems and methods for rendering target image data upon the dual modulator display system are disclosed where the display system receives target image data, possible HDR image data and first calculates display control signals and then calculates backlight control signals from the display control signals. This order of calculating display signals and then backlight control signals later as a function of the display systems may tend to reduce clipping artifacts. In other embodiments, it is possible to split the input target HDR image data into a base layer and a detail layer, wherein the base layer is the low spatial resolution image data that may be utilized as for backlight illumination data. The detail layer is higher spatial resolution image data that may be utilized for display control data.

Abstract: Methods and systems for frame rate scalability are described. Support is provided for input and output video sequences with variable frame rate and variable shutter angle across scenes, or for input video sequences with fixed input frame rate and input shutter angle, but allowing a decoder to generate a video output at a different output frame rate and shutter angle than the corresponding input values. Techniques allowing a decoder to decode more computationally-efficiently a specific backward compatible target frame rate and shutter angle among those allowed are also presented.

Abstract: Methods and systems for gamut mapping are disclosed. Pixels of an image or points of a look-up-table can be gamut mapped in a multi-step iterative process, by generating a coarse gamut hull and calculating a value of a distance metric for out-of-gamut pixels or LUT points, and subsequently generating a fine gamut hull in the neighborhood of the coarse gamut hull points closest to the out-of-gamut pixel or LUT points under consideration. The out-of-gamut pixel or LUT point is gamut mapped based on the smallest distance metric value calculated.

Abstract: Methods for encoding and decoding high-dynamic range signals are presented. The signals are encoded in a high frame rate and are accompanied by frame-rate conversion metadata defining a preferred set of frame-rate down-conversion parameters, which are determined according to the maximum luminance of a target display, display playback priority modes, or judder control modes. A decoder uses the frame-rate conversion metadata to apply frame-rate down-conversion to the input high-frame-rate signal according to at least the maximum luminance of the target display and/or the characteristics of the signal itself. Frame-based and pixel-based frame-rate conversions, and judder models for judder control via metadata are also discussed.

Abstract: A handheld imaging device has a data receiver that is configured to receive reference encoded image data. The data includes reference code values, which are encoded by an external coding system. The reference code values represent reference gray levels, which are being selected using a reference grayscale display function that is based on perceptual non-linearity of human vision adapted at different light levels to spatial frequencies. The imaging device also has a data converter that is configured to access a code mapping between the reference code values and device-specific code values of the imaging device. The device-specific code values are configured to produce gray levels that are specific to the imaging device. Based on the code mapping, the data converter is configured to transcode the reference encoded image data into device-specific image data, which is encoded with the device-specific code values.

Abstract: One or more media contents are received. A viewer's light adaptive states are predicted as a function of time as if the viewer is watching display mapped images derived from the one or more media contents. The viewer's light adaptive states are used to detect an excessive change in luminance in a specific media content portion of the one or more media contents. The excessive change in luminance in the specific media content portion of the one or more media contents is caused to be reduced while the viewer is watching one or more corresponding display mapped images derived from the specific media content portion of the one or more media contents.

Abstract: Input video data of a video dynamic range and its input dynamic metadata is received. Input graphics data of a graphics dynamic range is received. Display identification data is received from a target display over a video interface. Interpolated dynamic metadata is generated based at least in part on (a) the input dynamic metadata, (b) the display identification data, and (c) a numeric interpolation factor, in order to operate a priority-transition mode for transitioning between a video-priority mode and a graphics-priority mode. The input video data is blended with the input graphics data based at least in part on the interpolated dynamic metadata into graphics blended video data. The graphics blended video data and the interpolated dynamic metadata is sent to the target display for rendering graphics blended images represented in the graphics blended video data.

Abstract: A handheld imaging device has a data receiver that is configured to receive reference encoded image data. The data includes reference code values, which are encoded by an external coding system. The reference code values represent reference gray levels, which are being selected using a reference grayscale display function that is based on perceptual non-linearity of human vision adapted at different light levels to spatial frequencies. The imaging device also has a data converter that is configured to access a code mapping between the reference code values and device-specific code values of the imaging device. The device-specific code values are configured to produce gray levels that are specific to the imaging device. Based on the code mapping, the data converter is configured to transcode the reference encoded image data into device-specific image data, which is encoded with the device-specific code values.

Abstract: An HDR display is a combination of technologies including, for example, a dual modulation architecture incorporating algorithms for artifact reduction, selection of individual components, and a design process for the display and/or pipeline for preserving the visual dynamic range from capture to display of an image or images. In one embodiment, the dual modulation architecture includes a backlight with an array of RGB LEDs and a combination of a heat sink and thermally conductive vias for maintaining a desired operating temperature.

Abstract: Methods for mapping an image from a first dynamic range to a second dynamic range are presented. The mapping is based on a function that includes two spline polynomials determined using three anchor points and three slopes. The first anchor N point is determined using the black point levels of the input and target output, the second anchor point is determined using the white point levels of the input and target output, and the third anchor point is determined using mid-tones information data for the input and target output. The mid-tones level of the target output is computed adaptively based on an ideal one-to-one mapping and by preserving input contrast in both the blacks and the highlights. An example tone-mapping transfer function based on third order (cubic) Hermite splines is presented.

Abstract: Methods for mapping an image from one dynamic range to another dynamic range are presented. The mapping is based on a sigmoid-like function determined by three anchor points. The first anchor point is determined using the black point levels of a reference and a target display, the second anchor point is determined using the white point levels of the reference and target displays, and the third anchor point is determined using mid-tones information data for the input image and the mid-tones level of the target display. The mid-tones level of the target display is computed adaptively based on a desired range of constant brightness and a mapping function. The mapping function mapping may be piece-wise linear (in the log domain), piece-wise continuous, or a sigmoid. Examples for mapping high dynamic range images to standard dynamic range displays are presented.

Abstract: A processor receives input video data of a video dynamic range and input dynamic metadata. It also receives: input graphics data of a graphics dynamic range and input static metadata, display identification data from a target display over a video interface, and a blending priority map characterizing a per-pixel priority of output pixels in an image generated by blending the input video data and the input graphics data. A video mapping function and a graphics mapping function which map data from the input video and graphics dynamic ranges to the target dynamic range are generated based on the dynamic and static metadata. Then, the input and graphics data are blended based on the blending priority map and a per-pixel decision to map pixels to the target dynamic range using either the video mapping function or the graphics mapping function.

Abstract: Downsampled video content is generated in a subsampling color space from linearized video content in the subsampling color space. The linearized video content represents a first spatial dimension, whereas the downsampled video content represents a second spatial dimension lower than the first spatial dimension. Opponent channel data is derived in a transmission color space from the downsampled video content. Output video content is generated from luminance data in the linearized video content and the opponent channel data in the transmission color space. The output video content may be decoded by a downstream recipient device to generate video content in an output color space.

Abstract: An existing metadata set that is specific to a color volume transformation model is transformed to a metadata set that is specific to a distinctly different color volume transformation model. For example, source content metadata for a first color volume transformation model is received. This source metadata determines a specific color volume transformation, such as a sigmoidal tone map curve. The specific color volume transformation is mapped to a color volume transformation of a second color volume transformation model, e.g., a Bézier tone map curve. Mapping can be a best fit curve, or a reasonable approximation. Mapping results in metadata values used for the second color volume transformation model (e.g., one or more Bézier curve knee points and anchors). Thus, devices configured for the second color volume transformation model can reasonably render source content according to received source content metadata of the first color volume transformation model.

Abstract: Methods and systems for generating and applying scene-stable metadata for a video data stream are disclosed herein. A video data stream is divided or partitioned into scenes and a first set of metadata may be generated for a given scene of video data. The first set of metadata may be any known metadata as a desired function of video content (e.g., luminance). The first set of metadata may be generated on a frame-by-frame basis. In one example, scene-stable metadata may be generated that may be different from the first set of metadata for the scene. The scene-stable metadata may be generated by monitoring a desired feature with the scene and may be used to keep the desired feature within an acceptable range of values. This may help to avoid noticeable and possibly objectionably visual artifacts upon rendering the video data.

Abstract: A display management processor receives an input image with enhanced dynamic range to be displayed on a target display which has a different dynamic range than a reference display. The input image is first transformed into a perceptually-corrected IPT color space. A non-linear mapping function generates a first tone-mapped signal by mapping the intensity of the input signal from the reference dynamic range into the target dynamic range. The intensity (I) component of the first tone-mapped signal is sharpened to preserve details, and the saturation of the color (P and T) components is adjusted to generate a second tone-mapped output image. A color gamut mapping function is applied to the second tone-mapped output image to generate an image suitable for display onto the target display. The display management pipeline may also be adapted to adjust the intensity and color components of the displayed image according to specially defined display modes.

Abstract: A projection display system includes a spatial modulator that is controlled to compensate for flare in a lens of the projector. The spatial modulator increases achievable intra-frame contrast and facilitates increased peak luminance without unacceptable black levels. Some embodiments provide 3D projection systems in which the spatial modulator is combined with a polarization control panel.

Abstract: Input scene images are captured from an original scene. The input scene images may be represented in an input color space. The input scene images are converted into color-space-converted scene images in one of an LMS color space, an ICtCp color space, etc. Scene light levels represented in the color-space-converted scene images are mapped, based at least in part on an optical transfer function, to mapped light levels. A tone mapping is applied to the mapped light levels to generate corresponding display light levels to be represented in display images. The display images may be rendered on a target display.

Abstract: Methods for mapping an image from a first dynamic range to a second dynamic range are presented. The mapping is based on a function that includes two spline polynomials determined using three anchor points and three slopes. The first anchor point is determined using the black point levels of the input and target output, the second anchor point is determined using the white point levels of the input and target output, and the third anchor point is determined using mid-tones information data for the input and target output. The mid-tones level of the target output is computed adaptively based on an ideal one-to-one mapping and by preserving input contrast in both the blacks and the highlights. An example tone-mapping transfer function based on third order (cubic) Hermite splines is presented.

Abstract: An existing metadata set that is specific to a color volume transformation model is transformed to a metadata set that is specific to a distinctly different color volume transformation model. For example, source content metadata for a first color volume transformation model is received. This source metadata determines a specific color volume transformation, such as a sigmoidal tone map curve. The specific color volume transformation is mapped to a color volume transformation of a second color volume transformation model, e.g., a Bézier tone map curve. Mapping can be a best fit curve, or a reasonable approximation. Mapping results in metadata values used for the second color volume transformation model (e.g., one or more Bézier curve knee points and anchors). Thus, devices configured for the second color volume transformation model can reasonably render source content according to received source content metadata of the first color volume transformation model.