Multiscopic AR Display With Adaptive Crosstalk Compensation
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Solution Overview
Problem
Conventional methods for compensating crosstalk in autostereoscopic displays are inadequate for augmented reality applications, leading to suboptimal image quality and user discomfort due to the combination of synthetic and real-world light fields.
Innovation Solution
A system and method for augmenting reality using a multiscopic display with adaptive crosstalk compensation, involving a light field display unit, optical combiner, and processor to adjust pixel intensity levels based on real-world images to minimize crosstalk and enhance 3D visual quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If conventional crosstalk compensation method is used in augmented reality displays, then crosstalk is reduced, but image quality deteriorates and 3D effect is lost due to the combination of synthetic and real-world light fields
Solution Approach 1:
The patent implements dynamic crosstalk compensation by continuously adjusting pixel intensity levels based on real-time detection of real-world light field conditions. The system adapts the compensation parameters dynamically according to the actual viewing environment, rather than using fixed conventional compensation values. This dynamic adjustment resolves the contradiction by maintaining image quality while reducing crosstalk under varying augmented reality conditions.
Solution Approach 2:
The patent changes the intensity parameters of virtual images adaptively based on the detected real-world light field characteristics. By modifying the intensity levels of pixels in the virtual images according to the actual lighting conditions and real-world scene brightness, the system optimizes the balance between crosstalk reduction and image quality preservation in augmented reality displays.
2Object-affected harmful factors
If conventional crosstalk compensation is applied, then ghosting is reduced, but contrast and depth resolution are lost in augmented reality applications
Solution Approach 1:
The system dynamically adjusts the compensation strategy based on detected real-world scene characteristics, maintaining depth resolution while reducing ghosting. By continuously adapting the intensity adjustment parameters according to the actual augmented reality viewing conditions, the system preserves the 3D depth effect while minimizing crosstalk-induced ghosting artifacts.
Solution Approach 2:
The patent employs a feedback mechanism where the system detects the real-world light field conditions and uses this information to adjust the virtual image intensity levels. This closed-loop feedback approach ensures that ghosting is reduced while depth resolution is maintained, as the compensation parameters are continuously optimized based on actual viewing conditions rather than using fixed conventional values.
3Object-affected harmful factors
If intensity levels of virtual images are adjusted for crosstalk compensation, then crosstalk is reduced, but user comfort deteriorates due to suboptimal image quality in augmented reality
Solution Approach 1:
The system provides dynamic user comfort optimization by continuously adapting the crosstalk compensation parameters based on real-time detection of augmented reality viewing conditions. This dynamic adjustment ensures that image quality remains optimal for user comfort while effectively reducing crosstalk, unlike conventional static compensation methods that degrade user experience in augmented reality applications.
Solution Approach 2:
The patent optimizes user comfort by adaptively changing the intensity parameters of virtual images based on detected real-world light field characteristics. This parameter optimization ensures that crosstalk reduction does not compromise image quality or user comfort, as the system continuously adjusts parameters to maintain optimal viewing conditions for augmented reality applications.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system provides high-quality, high-contrast 3D visuals free from ghosting artefacts, improving user experience by reducing crosstalk and maintaining depth resolution, suitable for applications like vehicle HUDs and digital signage.
Implementation Method 1
an optical combiner arranged on an optical path of the light field display unit and on an optical path of a real-world light field of a real-world environment... optically combining the first part and the second part of the synthetic light field with the real-world light field
Data Source
Figure 1~2
Figure 3
AI summary
For a given region of a given virtual image to be presented to a given eye of user(s), intensity values of pixels in a corresponding portion of a real-world image and an amount of crosstalk due to other virtual image(s) are determined. A minimum intensity level of pixels in the given region of the given virtual image are increased, based on the intensity values of the pixels in the corresponding portion of the real-world image. First intensity values of the pixels in the given region of the given virtual image are adjusted, based on the amount of crosstalk determined for the given region of the given virtual image. A light field image is generated by utilising the given virtual image and the other virtual image(s). The light field image is displayed via a light field display unit (104) for producing a synthetic light field (118).