Adaptive Blue Light Reduction in Display Driving Apparatus
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Solution Overview
Problem
Existing methods for reducing blue light emission from display devices, such as artificially reducing blue light signals or using physical filters, lead to significant changes in image quality characteristics, causing visual discomfort and making it difficult to provide optimal image quality suited to the user's environment.
Innovation Solution
A display driving apparatus and method that calculates an average blue image signal for each frame and adjusts the blue image signals using frame and pixel gains, allowing for adaptive reduction of blue light emission based on the color characteristics of the displayed image.
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 characteristics change drastically causing visual discomfort
Solution Approach 1:
The patent implements dynamic blue light reduction by calculating frame gain and pixel gain based on actual blue image signal values. The system adaptively adjusts the degree of blue light reduction for each frame and each pixel, rather than applying a fixed reduction ratio. This dynamic approach allows the system to maintain image quality by responding to actual blue light content in the displayed image.
Solution Approach 2:
The patent changes the parameter of blue light signal intensity adaptively. By calculating average blue image signals and determining frame gain and pixel gain values, the system dynamically modifies the blue light component intensity based on actual image characteristics. This parameter change approach prevents drastic image quality changes while still reducing blue light emission effectively.
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 suited to user environment and adaptively respond to input image changes
Solution Approach 1:
The patent applies local quality by implementing pixel-level blue light reduction. Each pixel's blue light component is adjusted individually based on its specific blue image signal value, rather than applying a uniform reduction across the entire image. This allows different regions of the image to have different degrees of blue light reduction, optimizing both health benefits and image quality for diverse content.
Solution Approach 2:
The patent implements feedback mechanisms by calculating frame gain and pixel gain based on the actual blue image signal values of the current frame. The system continuously monitors the blue light content and adjusts the reduction strategy accordingly, enabling adaptive response to changes in input images and maintaining optimal image quality across different display scenarios.
Data Source
AI summary
A display driving apparatus includes an average calculator for each frame configured to calculate an average blue image signal as an average of blue image signals configuring one frame, a gain calculator configured calculate a frame gain for correcting the blue image signals configuring the one frame using the average blue image signal, and a pixel gain calculator configured to calculate a pixel gain for correcting a blue image signal of each unit pixel using the blue image signal configuring each unit pixel.