Zero-Gray Luminance Enhancer for Black Crush Mitigation
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Solution Overview
Problem
Ambient light reflection adversely affects image fidelity on display screens, particularly causing 'black crush' where it is difficult to distinguish between grays and colors in dark regions due to reduced luminance contrast.
Innovation Solution
A display device incorporating a scalar processor and zero-gray luminance enhancer that generates enhancement values based on ambient luminance data to control pixel luminance, enhancing contrast and mitigating black crush effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If display screen is used in ambient light conditions, then visibility is improved, but luminance contrast in dark regions deteriorates causing black crush
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the gamma curve parameters based on ambient light conditions. The scalar processor modifies the luminance output parameters for dark regions specifically, changing the gamma correction parameters to prevent black crush while maintaining overall image fidelity across varying ambient lighting conditions.
Solution Approach 2:
The patent implements local quality by applying different gamma correction strategies to different regions of the image. Specifically, dark regions receive enhanced luminance adjustment through the zero-gray luminance enhancer, while other regions maintain standard gamma correction, thereby locally improving contrast where it is most needed without affecting the entire image uniformly.
2Manufacturing precision
If gamma correction is applied to improve luminance distribution, then overall image quality is improved, but differentiation of dark regions deteriorates
Solution Approach 1:
The patent applies segmentation by dividing the gamma correction process into distinct segments: standard gamma correction for general regions and a specialized zero-gray luminance enhancement segment for dark regions. This segmentation allows each region to receive appropriate processing, maintaining overall image fidelity while preserving grayscale differentiation in dark areas.
Solution Approach 2:
The patent uses parameter changes by introducing a specific parameter adjustment for dark region luminance through the zero-gray luminance enhancer. This modifies the gamma curve parameters selectively for low-luminance regions, ensuring that grayscale differentiation is maintained in dark areas while overall image quality remains high.
3Manufacturing precision
If scalar processor processes raw image data, then image rendering is improved, but processing complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing optimal gamma correction parameters and lookup tables for different ambient light conditions. The scalar processor retrieves these pre-computed values rather than performing complex real-time calculations, thereby improving image rendering quality while minimizing processing complexity and computational overhead.
Data Source
AI summary
A scalar of a display device of an information handling system includes a scalar processor and zero-gray luminance enhancer. The scalar processor generates image data by processing raw image data, including grayscale levels, received from the information handling system. The image data is used by the display device to control pixels of a display screen of the display device in rendering images on the display screen. The zero-gray luminance enhancer generates zero-gray enhancement values, each zero-gray enhancement value uniquely corresponding to one of the grayscale levels. The zero-gray enhancement values control luminance associated with the pixels.