Reflective Display Pixel Biasing for Ambient Light Compensation
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Solution Overview
Problem
Projectors, such as DLP projectors, struggle to maintain display sharpness and contrast on white surfaces due to ambient light interference, causing true colors to appear distorted and black portions to lack clarity.
Innovation Solution
A system that projects images on reflective displays by identifying specific color regions and biasing pixels to display darker or complementary colors, enhancing sharpness and contrast by compensating for ambient light effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If images are projected on white surfaces, then the projected image can be displayed, but display sharpness and contrast deteriorate due to ambient light interference
Solution Approach 1:
The patent applies local quality by detecting specific color regions (e.g., red, green, blue) in the projected image and applying different pixel biasing strategies to different regions. Instead of uniform treatment, the system adjusts pixel colors locally based on the detected region, enhancing contrast and sharpness in areas affected by ambient light while preserving other regions.
Solution Approach 2:
The patent changes the color parameters of pixels dynamically based on the detected projected image regions. By adjusting pixel biasing values according to the detected color regions, the system modifies the display parameters to compensate for ambient light effects, thereby improving display sharpness and contrast in affected areas.
2Reliability
If images are projected on white surfaces, then the projected image can be displayed, but display contrast deteriorates due to ambient light interference
Solution Approach 1:
The patent applies local quality by detecting specific color regions (e.g., red, green, blue) in the projected image and applying different pixel biasing strategies to different regions. Instead of uniform treatment, the system adjusts pixel colors locally based on the detected region, enhancing contrast and sharpness in areas affected by ambient light while preserving other regions.
Solution Approach 2:
The patent changes the color parameters of pixels dynamically based on the detected projected image regions. By adjusting pixel biasing values according to the detected color regions, the system modifies the display parameters to compensate for ambient light effects, thereby improving display sharpness and contrast in affected areas.
3Measurement precision
If true colors are displayed on white surfaces, then the image appears complete, but color accuracy deteriorates due to ambient light effects
Solution Approach 1:
The patent applies local quality by detecting specific color regions (e.g., red, green, blue) in the projected image and applying different pixel biasing strategies to different regions. Instead of uniform treatment, the system adjusts pixel colors locally based on the detected region, enhancing contrast and sharpness in areas affected by ambient light while preserving other regions.
Solution Approach 2:
The patent changes the color parameters of pixels dynamically based on the detected projected image regions. By adjusting pixel biasing values according to the detected color regions, the system modifies the display parameters to compensate for ambient light effects, thereby improving display sharpness and contrast in affected areas.
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 significantly improves display sharpness and contrast by adjusting pixel colors within identified regions, resulting in a more accurate and vivid image projection.
Implementation Method 1
The surface on which the image is projected may be a reflective display
Data Source
AI summary
Examples of techniques for projection of images on reflective displays is described. In an example implementation, an image is projected on a reflective display. Regions of a first predefined color of the projected image are identified, and a first set of pixels of the reflective display that overlap the identified regions is biased to display a second predefined color by the first set of pixels.


