Display Color Saturation Compensation via Brightness Statistics
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Solution Overview
Problem
Current display technologies, such as LCDs, automatically modify frame quality parameters like brightness and contrast, which affects color saturation, leading to chromatic polarization and a decrease in image clarity, necessitating compensation for optimal picture quality.
Innovation Solution
A method and apparatus that receive image data with brightness and saturation information, generate a brightness statistic result, compare it to a predetermined value, and adjust the saturation data accordingly to maintain optimal color saturation, avoiding distortion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Strength
If auto contrast enhancement is applied to enhance image contrast, then contrast is improved, but color saturation decreases due to brightness changes
Solution Approach 1:
The patent dynamically adjusts the saturation adjustment parameter based on the brightness distribution characteristics of the image. When brightness is enhanced through ACE, the system detects this change and automatically modifies the saturation parameter to compensate for the resulting color desaturation, thereby maintaining optimal color saturation while preserving contrast enhancement benefits
Solution Approach 2:
The system incorporates feedback mechanisms by analyzing the brightness distribution after ACE processing and using this information to adjust saturation parameters. The brightness statistic result serves as feedback that triggers appropriate saturation compensation, creating a closed-loop control system that maintains image quality
2Illumination intensity
If brightness is adjusted to improve image clarity, then brightness is improved, but color saturation decreases
Solution Approach 1:
The patent uses parameter changes by adjusting the saturation adjustment parameter according to the brightness distribution characteristics. When brightness is modified, the system detects the change in brightness statistics and automatically adjusts the saturation parameter to compensate for color saturation loss, maintaining optimal visual quality
Solution Approach 2:
The system applies local quality by differentiating between different brightness regions and applying appropriate saturation adjustments. The brightness distribution analysis allows the system to target specific brightness ranges for saturation compensation, ensuring that color saturation is restored in areas where it was degraded by brightness adjustment
Data Source
AI summary
A method of modifying color saturation for a display device includes receiving an image data including a brightness data and a saturation data of a frame, generating a brightness statistic result according to the brightness data, comparing the brightness statistic result with a predetermined value for generating a comparison result, and adjusting the saturation data of the frame according to the comparison result.


