Display Device Brightness-Adaptive Image Quality Processing
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Solution Overview
Problem
Display devices face challenges in maintaining consistent image quality across varying brightness levels, as image processing methods can alter the appearance of images, making noise more prominent at higher brightness and less visible at lower brightness.
Innovation Solution
A display device and method that dynamically adjust image quality processing parameters based on brightness information, using noise filters, detail enhancement filters, and contrast ratio enhancing curves to ensure consistent image quality across different brightness settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If image quality processing is performed based on display brightness, then noise is reduced at lower brightness, but image quality becomes visually deformed and inconsistent across different brightness levels
Solution Approach 1:
The patent applies dynamics by making image quality processing parameters adaptive rather than fixed. The processor dynamically adjusts processing strength based on real-time brightness detection, transitioning from static processing to dynamic processing that responds to changing display conditions. This resolves the contradiction by allowing noise reduction at low brightness while maintaining image quality consistency at high brightness through continuous adaptation.
Solution Approach 2:
The patent changes processing parameters (such as noise filter gain, detail enhancement strength, and contrast adjustment) based on brightness levels. By varying these parameters dynamically according to the display brightness, the system achieves both noise reduction at low brightness and quality consistency at high brightness, resolving the technical contradiction through parameter adaptation.
2Illumination intensity
If brightness of display is increased, then visibility is improved, but noise becomes more prominent in the image
Solution Approach 1:
The patent implements feedback by continuously monitoring display brightness and using this information to adjust image processing parameters. The brightness detection creates a closed-loop system where the processing strength is fed back and adjusted based on actual brightness conditions, enabling noise suppression at high brightness levels while maintaining visibility.
Solution Approach 2:
The patent changes processing parameters dynamically based on brightness levels. At high brightness, the system adjusts parameters (such as increasing noise filter gain or modifying contrast curves) to suppress noise while maintaining visibility. This parameter adaptation allows the system to achieve both high visibility and low noise simultaneously.
3Object-affected harmful factors
If brightness of display is decreased, then noise is reduced, but image quality processing becomes less effective
Solution Approach 1:
The patent applies dynamics by making processing parameters adaptive rather than fixed. At low brightness levels, the system dynamically adjusts parameters to maintain processing effectiveness despite the reduced brightness conditions. This dynamic adaptation ensures that noise reduction and detail enhancement remain effective across all brightness levels.
Solution Approach 2:
The patent changes processing parameters based on brightness levels to maintain consistent processing effectiveness. At low brightness, the system adjusts parameters (such as modifying filter gains or contrast curves) to ensure that noise reduction and detail enhancement remain effective, resolving the contradiction between noise reduction and processing effectiveness.
4Reliability
If image quality processing parameters are adjusted for one brightness level, then image quality is optimized for that level, but image quality deteriorates at other brightness levels
Solution Approach 1:
The patent applies dynamics by making processing parameters adaptive rather than fixed. Instead of optimizing for a single brightness level, the system dynamically adjusts parameters to adapt to different brightness levels, achieving both optimization and versatility simultaneously through continuous parameter adaptation based on detected brightness conditions.
Solution Approach 2:
The patent changes processing parameters dynamically based on brightness levels to achieve both optimization and versatility. By implementing multiple processing curves or lookup tables that correspond to different brightness levels, the system can optimize image quality for each brightness level while maintaining compatibility across all levels through parameter switching.
Data Source
AI summary
A display device includes: a display; one or more processors; and memory storing one or more instructions that, when executed by the one or more processors, cause the display device to: obtain first brightness information of the display; set one or more image quality processing parameters based on the first brightness information; perform image quality processing on a first image to obtain a second image based on the one or more image quality processing parameters; and control the display to display the second image.