Abstract:
In an example, a method of gamut mapping may include generating a plurality of color values in a first color space based on a plurality of measured color values in a second color space using a color specification that maps color values corresponding to the second color space to color values corresponding to the first color space. The method may include generating a second-order or higher response-surface regression model that maps color values corresponding to the first color space to color values corresponding to the first color space.
Abstract:
In an example, a method of gamut mapping may include generating a first second-order or higher response-surface regression model that maps color values corresponding to the second color space to color values corresponding to the first color space. The method may include generating predicted color values for measured color values by inputting measured color values into the first second-order or higher response-surface regression model. The method may include generating, based on predicted color values and a plurality of color values, a second second-order or higher response-surface regression model that maps predicted color values output by the first second-order or higher response-surface regression model corresponding to the first color space to color values corresponding to the first color space.
Abstract:
Systems and methods for using a mobile device to manage the color of a digital display on the mobile device are disclosed. The mobile device has a display architecture which it can self-manage. The mobile device can display test patterns that are then sensed by a color sensor, which may be with the mobile device or separate from the mobile device. The mobile device then analyzes the color attributes of the test patterns and generates color management data that includes adjustments to be made to the display architecture. The mobile device may then receive the color management data and adjust its display architecture accordingly.
Abstract:
This disclosure describes techniques for calibrating and adjusting the white point of a display. The techniques for calibrating and adjusting the white point of a display may receive data indicative of a target color temperature for a white point of a display, and provide one or more user interface components that allow a user to select between multiple different candidate white points where each of the of the candidate white points has a correlated color temperature that corresponds to the target color temperature Different target white points for a display may exhibit different levels of luminance loss and/or tint. The techniques for calibrating and adjusting the white point of a display may allow a user to evaluate the trade-off between the luminance loss characteristics and/or tint characteristics of different white points.
Abstract:
Techniques are described generally related to perceptual attribute adjustment. In some examples, the perceptual attribute adjustment may be performed by a color correction unit as part of the functionality of the color correction unit to correct deficiencies in the ability of a display to display particular colors. In this manner, the techniques may allow for current display processors to implement the described techniques without needing hardware modification.
Abstract:
In an example, a method of gamut mapping may include generating a first second-order or higher response-surface regression model that maps color values corresponding to the second color space to color values corresponding to the first color space. The method may include generating predicted color values for measured color values by inputting measured color values into the first second-order or higher response-surface regression model. The method may include generating, based on predicted color values and a plurality of color values, a second second-order or higher response-surface regression model that maps predicted color values output by the first second-order or higher response-surface regression model corresponding to the first color space to color values corresponding to the first color space.
Abstract:
In an example, a method of gamut mapping may include generating a plurality of color values in a first color space based on a plurality of measured color values in a second color space using a color specification that maps color values corresponding to the second color space to color values corresponding to the first color space. The method may include generating a second-order or higher response-surface regression model that maps color values corresponding to the first color space to color values corresponding to the first color space.
Abstract:
In an example, a method of calibrating a white point of a display may include receiving a plurality of color values, and one or more measured color values corresponding to one or more colors displayed by a first target display. The method may include generating, based on the plurality of color values and the one or more measured color values, a second-order or higher response-surface regression model that maps color values corresponding to a second color space to color values corresponding to a first color space. The method may include generating predicted color values for a specified white point by inputting a plurality of specified color values corresponding to the specified white point into the second-order or higher response-surface regression model, where each predicted color value may correspond to the first color space and each of the specified color values may correspond to the second color space.
Abstract:
Systems and methods for using a mobile device to manage the color of a digital display on a target device are disclosed. The mobile device can associate with the target device to determine compatibility and identify the display architecture of the target device. The mobile device can further communicate with the target device to display test patterns on the target device that are then sensed by a miniature color sensor on the mobile device. The mobile device then analyzes the color attributes of the test patterns and generates color management data that includes adjustments to be made to the display architecture of the target device. The target device may then receive the color management data and adjust its display architecture accordingly.
Abstract:
Techniques are described generally related to perceptual attribute adjustment. In some examples, the perceptual attribute adjustment may be performed by a color correction unit as part of the functionality of the color correction unit to correct deficiencies in the ability of a display to display particular colors. In this manner, the techniques may allow for current display processors to implement the described techniques without needing hardware modification.