Display Panel Content Analyzer for Adaptive Blue Light Reduction
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Solution Overview
Problem
Conventional anti-blue light functions in portable electronic devices reduce pixel values uniformly, failing to identify color temperature and resulting in suboptimal image quality and power saving efficiency, especially for high color temperature images.
Innovation Solution
An image adjusting method and device that applies content analysis to determine specific light power saving modes to reduce color intensity based on detected scenario modes, minimizing color shift and optimizing image quality and power saving efficiency by selectively adjusting blue, green, and red light intensities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If uniform pixel value reduction is applied to reduce blue light intensity, then power saving efficiency is improved, but image quality deteriorates due to color shift and loss of natural appearance
Solution Approach 1:
The patent applies local quality by differentiating blue light reduction strategies based on image content characteristics. Instead of uniform reduction, the system analyzes each pixel's color temperature and applies selective reduction only where needed, preserving image quality while maintaining power savings. The content analyzer identifies different scenario modes (e.g., warm vs. cool images) and applies appropriate reduction levels to different regions.
Solution Approach 2:
The patent changes parameters by dynamically adjusting the blue light reduction level based on detected color temperature and scenario mode. The system modifies the reduction parameter adaptively - applying stronger reduction to high color temperature images and minimal or no reduction to low color temperature images, thereby optimizing both power efficiency and image quality through parameter variation.
2Object-affected harmful factors
If strong blue light reduction is applied to enhance reading comfort, then eye protection is improved, but image quality deteriorates with significant color shift
Solution Approach 1:
The patent applies local quality by selectively reducing blue light intensity based on local image characteristics. The content analyzer identifies regions with high color temperature and applies blue light reduction primarily to those areas, while preserving natural colors in regions that already have warm tones. This localized approach protects eyes from harmful blue light while minimizing overall color shift.
Solution Approach 2:
The patent applies dynamics by making the blue light reduction level adaptive and changeable based on real-time image content analysis. The system dynamically adjusts reduction strength according to detected scenario modes, transitioning between different reduction levels as image content changes, thereby balancing eye protection with image quality preservation.
3Manufacturing precision
If content analysis is applied to detect scenario mode, then image quality is improved through selective adjustment, but device complexity increases
Solution Approach 1:
The patent applies universality by designing the content analyzer to perform multiple functions: it detects color temperature, identifies scenario modes, and determines appropriate blue light reduction levels all within a single processing unit. This multi-functional approach improves image quality through selective adjustment while minimizing the increase in device complexity by consolidating functions rather than adding separate components.
Data Source
AI summary
An image adjusting method applied to an image adjusting device of a display panel includes applying content analysis to an original image, determining one related specific light power saving mode to reduce intensity of specific color of the original image in accordance with a result of the content analysis, and executing the related specific light power saving mode.