Apple Inc.

Meta Platforms Technologies, LLC

Shuang Wang

Bennett S Wilburn

Cheng Kai Chen

Chaohao Wang

Zhibing Ge

Edward Buckley

Sheng Zhang

Yuan Chen

Anselm Grundhoefer

Tobias Jung

Michael Slootsky

Ralf Habel

Yue Ma

Kavitha Ratnam

Sivalogeswaran Ratnasingam

Pravin Rao

Jun Miao

Mahnaz Mohammadi

José Antonio Dominguez-Caballero

In accordance with some implementations, a method is performed at an electronic device with one or more processors, a non-transitory memory, and a see-through display. The method includes determining a plurality of light superposition characteristic values associated with ambient light from a physical environment. The plurality of light superposition characteristic values quantifies the ambient light. The method includes modifying image data in order to generate modified image data, based on a function of the plurality of light superposition characteristic values and a reference perceptual gamut. The method includes transforming the modified image data into display data based on a function of a portion of the plurality of light superposition characteristic values and a reference physical gamut that is associated with the see-through display. The method includes displaying the display data on the see-through display.

Color correction pipeline

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.

Augmented reality local tone mapping for light-transmissive display panel systems and methods

In one embodiment, a computing system may determine, determine an estimated distance of an eye of a user to a display plane of a display. The system may access correction maps corresponding to a number of reference distances to the display plane of the display. The system may select a first reference distance and a second reference distance based on the estimated distance. The system may generate a custom correction map for the user based on an interpolation of a first correction map corresponding to the first reference distance and a second correction map corresponding to the second reference distance. The system may adjust an image to be displayed on the display using the custom correction map. The custom correction map may correct non-uniformity of the display as viewed from the eye of the user. The system may display the image adjusted using the custom correction map on the display.

Display non-uniformity correction

Optical systems may have tunable lenses with focal lengths that are adjusted by control circuitry. A display may produce image light that is received by a tunable lens. The display may be transparent so that light from objects can pass through the display and be received by the tunable lens. The tunable lens may include a birefringent lens element and a polarization rotator and may receive light that has been linearly polarized by passing through a linear polarizer. The polarization rotator may be operable in a first state in which the polarization of light passing through the polarization rotator is not rotated and a second state in which the polarization of light passing through the polarization rotator is rotated by 90&#xb0;. The birefringent lens element may be formed from a cured liquid crystal polymer or other polymer and may have a liquid crystal additive to enhance birefringence.

Optical systems with adjustable lenses

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Palo Alto, CA, United States of America

Shuang Wang