Adaptive Color Calibration for Display Devices Reducing Blue Light
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Solution Overview
Problem
Display devices struggle to maintain image quality while reducing blue light emission, leading to visual inconvenience and uniform image quality changes regardless of the type of content being displayed, which interferes with user experience and physical and mental health.
Innovation Solution
A display device and image processing method that adaptively perform color calibration based on image types, using an image processor to set corrected color coordinate values for RGB components through color space transformation, minimizing brightness correction for achromatic colors and applying weight factors to reduce color distortion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If blue light signal component is adjusted or filtered to reduce blue light emission, then health protection is improved, but image quality deteriorates and visual inconvenience occurs
Solution Approach 1:
The patent applies different color calibration strategies to different image types (multimedia, webpage, document) based on their specific characteristics. Instead of uniformly reducing blue light across all content, the system selectively adjusts blue light levels according to the local requirements of each image type, thereby protecting health while preserving image quality where possible.
Solution Approach 2:
The system dynamically changes color coordinate values and calibration parameters based on image type detection. By adjusting the degree of blue light reduction as a variable parameter rather than a fixed value, the system can optimize both health protection and image quality for different content scenarios.
2Device complexity
If uniform color calibration is applied to all images, then processing simplicity is improved, but adaptability to different image types deteriorates
Solution Approach 1:
The patent segments the image processing workflow into distinct stages: image type detection, classification into categories (multimedia, webpage, document), and application of type-specific calibration parameters. This segmentation allows the system to handle different image types appropriately while maintaining manageable processing complexity through modular design.
Solution Approach 2:
The color calibration system transitions from a static, uniform approach to a dynamic, adaptive approach. The calibration parameters change dynamically based on the detected image type, allowing the system to optimize performance for each category while maintaining a unified processing framework.
3Object-affected harmful factors
If color coordinate values are corrected for blue light reduction, then health protection is improved, but color distortion increases
Solution Approach 1:
The patent applies different correction strategies to different color components and different image types. For achromatic colors, minimal brightness correction is applied to preserve color accuracy, while for chromatic colors, more aggressive blue light reduction can be applied. This local differentiation reduces overall color distortion while maintaining health benefits.
Solution Approach 2:
The system adjusts correction parameters adaptively based on image characteristics. By changing the degree of correction as a variable parameter rather than applying maximum correction uniformly, the system can reduce blue light exposure while minimizing color distortion for each specific image type.
Data Source
AI summary
Provided herein are a display device and an image processing method thereof. The display device includes an image processor processing original image data including color coordinate values for R, G, and B components in an RGB color space, and output processed original image data as corrected image data, and a display unit outputting an image corresponding to the corrected image data, wherein the image processor sets a corrected color coordinate value for an arbitrary component of the R, G, and B components based on a type of the image, sets corrected color coordinate values for remaining components in accordance with the corrected color coordinate value for the arbitrary component, and generates the corrected image data based on the corrected color coordinate values for the arbitrary component and the remaining components.