Display Driving Apparatus Adaptive Blue Light Reduction
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Solution Overview
Problem
Existing display technologies struggle to reduce blue light emission effectively without compromising image quality, as methods like artificially reducing blue light signals or using physical filters can lead to color degradation and visual inconvenience, especially when adapting to different image characteristics and user environments.
Innovation Solution
A display driving apparatus and method that includes a main color detector, color difference calculator, and weight calculator to adjust blue light emission based on the color features of an input image, specifically calculating weights for red, green, and blue image signals to minimize blue light emission while maintaining optimal image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If blue light signal component is artificially reduced or physical filter is attached, then blue light emission is reduced, but image quality changes drastically causing visual inconvenience
Solution Approach 1:
The patent applies local quality by differentiating blue light reduction based on image content characteristics. Different weights are applied to blue light signals depending on the detected main color and color difference in specific image regions, rather than uniformly reducing blue light across all content. This allows optimal balance between blue light reduction and image quality preservation for each local region.
Solution Approach 2:
The patent implements dynamics by making blue light reduction adaptive and changeable based on real-time image characteristics. The system dynamically adjusts blue light signal weights according to detected main colors and color differences, allowing the blue light reduction level to vary continuously with changing image content rather than being fixed.
2Object-affected harmful factors
If uniform blue light reduction is applied regardless of image characteristics, then blue light emission is reduced, but it is difficult to provide optimal image quality for user's working environment
Solution Approach 1:
The patent applies parameter changes by modifying blue light signal weights based on detected image parameters such as main color and color difference. The system changes the weighting parameters dynamically according to image characteristics, enabling adaptive blue light reduction that responds to different content types and viewing conditions.
Solution Approach 2:
The patent implements feedback by using detected image characteristics (main color, color difference) to adjust blue light reduction levels. The system continuously monitors image content and uses this information to feedback-adjust the blue light signal weights, creating a closed-loop adaptive system that optimizes both blue light reduction and image quality.
3Object-affected harmful factors
If physical filter is used to block blue light, then blue light transmission is blocked, but it is difficult to appropriately cope with changes in input image
Solution Approach 1:
The patent replaces the mechanical physical filter system with an electronic signal processing approach. Instead of using a fixed physical filter that passively blocks blue light wavelengths, the system uses electronic weight calculation and signal modulation to dynamically control blue light emission based on digital image data, enabling adaptive response to changing content.
Data Source
AI summary
Disclosed herein is an apparatus for driving a display, including a main color detector configured to detect a main color of a unit pixel based on a red image signal, a green image signal, and a blue image signal, a color difference calculator configured to calculate an image signal difference among the red image signal, the green image signal, and the blue image signal, and a weight calculator configured to calculate a weight for the red image signal, the green image signal, and the blue image signal based on the image signal difference.