Abstract: Systems and methods are provided for displaying augmented reality image content perceived as being overlaid on background image content viewed through a light-transmissive viewing surface. Image processing circuitry may receive input augmented reality image data corresponding with a pixel position on the display panel, determine a perceived background brightness metric indicative of background brightness level at the pixel position based at least in part on captured background image data and an ambient lighting metric, determine a target tone mapping based at least in part on the perceived background brightness metric, and determine display augmented reality image data to be used by a display panel to display the augmented reality image content least in part by applying the target tone mapping to the input augmented reality image data.

Abstract: An electronic device has a display with a pixel array overlapping an array of temperature sensors. Control circuitry in the device may gather temperature measurements from the temperature sensor array. The control circuitry may apply a global offset to the temperature measurements and may apply a damping factor to the globally offset measurements to produce a two-dimensional temperature profile for the display. A look-up table or other data structure may be used to store information on pixel color correction gain values as a function of temperature. This temperature-gain information and temperature information from the two-dimensional temperature profile may be used by display circuitry in the device to display color-corrected images on the display.

Abstract: An electronic device has a display with a pixel array overlapping an array of temperature sensors. Control circuitry in the device may gather temperature measurements from the temperature sensor array. The control circuitry may apply a global offset to the temperature measurements and may apply a damping factor to the globally offset measurements to produce a two-dimensional temperature profile for the display. A look-up table or other data structure may be used to store information on pixel color correction gain values as a function of temperature. This temperature-gain information and temperature information from the two-dimensional temperature profile may be used by display circuitry in the device to display color-corrected images on the display.

Abstract: A system and method of quantifying a difference between gonioapparent colored surfaces includes determining a lightness (L*), a sparkle area (Sa), and a sparkle intensity (Si) of the first and second surfaces at a first aspecular angle and at a second aspecular angle. A sparkle metric (SpkM) to quantify the difference between the first and second surfaces is calculated utilizing the lightness (L*), the sparkle area (Sa), and the sparkle intensity (Si) of the first and second surfaces at the first and second aspecular angles.

Abstract: A system and method of quantifying a difference between gonioapparent colored surfaces includes determining a lightness (L*), a sparkle area (Sa), and a sparkle intensity (Si) of the first and second surfaces at a first aspecular angle and at a second aspecular angle. A sparkle metric (SpkM) to quantify the difference between the first and second surfaces is calculated utilizing the lightness (L*), the sparkle area (Sa), and the sparkle intensity (Si) of the first and second surfaces at the first and second aspecular angles.

Abstract: This disclosure is directed to a process for producing one or more predicted target sparkle values of a target coating composition. An artificial neural network can be used in the process. The process disclosed herein can be used for color and appearance matching in the coating industry including vehicle original equipment manufacturing (OEM) coatings and refinish coatings. A system for producing one or more predicted target sparkle values of a target coating composition is also disclosed.

Abstract: This disclosure is directed to a process for producing one or more predicted target sparkle values of a target coating composition. An artificial neural network can be used in the process. The process disclosed herein can be used for color and appearance matching in the coating industry including vehicle original equipment manufacturing (OEM) coatings and refinish coatings. A system for producing one or more predicted target sparkle values of a target coating composition is also disclosed.

Abstract: A method for matching color and appearance of a target coating of an article is provided. The method includes the steps utilizing sparkle values of the target coating; color data of the target coating; and flop values based on the color data; to identify and select matching formulas based on sparkle differences, flop value differences, and color difference indexes. The method can be used for matching color and appearance of target coatings having effect pigments. This disclosure is also directed to a system for implementing the method. The method can be particularly useful for vehicle refinish repairs.

Abstract: This disclosure is directed to a process for producing one or more predicted target sparkle values of a target coating composition. An artificial neural network can be used in the process. The process disclosed herein can be used for color and appearance matching in the coating industry including vehicle original equipment manufacturing (OEM) coatings and refinish coatings. A system for producing one or more predicted target sparkle values of a target coating composition is also disclosed.