Display Image Optimizing via Dual Amending Functions
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Solution Overview
Problem
Conventional displays lack an automatic image optimizing function, leading to blurred and indistinct patterns due to uniform backlight adjustments based on ambient light, which fail to maintain image definition across varying illumination conditions.
Innovation Solution
A display system equipped with an ambient light sensor that adjusts backlight brightness and pixel intensity using specific amending functions, where one function varies with surrounding illumination and another remains constant, ensuring optimal image clarity by selectively adjusting high and low gray-scale value pixels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If automatic backlight adjustment is implemented based on surrounding illumination, then the display can adapt to varying light conditions, but image definition is lost due to uniform intensity adjustment of all pixels
Solution Approach 1:
The patent applies local quality by differentiating pixel adjustment strategies based on gray-scale value ranges. Bright pixels (high gray-scale values) are adjusted with one function while dark pixels (low gray-scale values) are adjusted with another function, allowing different parts of the image to have different adjustment characteristics that preserve overall image definition while adapting to ambient light conditions.
Solution Approach 2:
The patent changes the adjustment parameters (amending functions) based on the gray-scale values of pixels. By selecting different amending functions for different pixel intensity ranges, the system dynamically adjusts parameters to maintain image definition across varying illumination conditions, resolving the contradiction between adaptability and image quality.
2Device complexity
If uniform intensity adjustment is applied to all pixels, then the adjustment process is simple, but bright patterns become harsh and dark patterns become indistinct
Solution Approach 1:
The patent divides pixels into different categories based on their gray-scale values and applies different amending functions to each category. This local differentiation prevents harshness in bright patterns and indistinctness in dark patterns, addressing the harmful effects while maintaining reasonable system complexity.
Solution Approach 2:
The patent segments the pixel population into multiple groups (bright pixels, dark pixels, and intermediate pixels) and applies specific adjustment functions to each segment. This segmentation allows targeted adjustment that eliminates the harmful effects of uniform adjustment on different pattern types.
3Manufacturing precision
If manual intensity control is used, then image definition is maintained, but the display cannot automatically adapt to changing illumination environments
Solution Approach 1:
The patent implements self-service by enabling the display to automatically detect surrounding illumination and apply appropriate amending functions to pixels without user intervention. The system serves itself by autonomously adjusting to environmental changes while preserving image definition through intelligent pixel-specific adjustments.
Solution Approach 2:
The patent automatically changes adjustment parameters based on detected illumination conditions and pixel characteristics. This automatic parameter adaptation achieves both image definition preservation and environmental adaptability, eliminating the need for manual control while maintaining quality.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively maintains image definition and comfort by adaptively adjusting backlight brightness and pixel intensity, preventing harshness or dimness in varying light conditions, thus providing an optimal viewing experience across different environments.
Implementation Method 1
an ambient light sensor for detecting surrounding illumination of the display
Data Source
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AI summary
An image adjusting method is applied to a display (10) with an ambient light sensor (14). The image adjusting method includes utilizing the ambient light sensor (14) to detect surrounding illumination of the display (10), adjusting backlight brightness of the display (10) according to the surrounding illumination, adjusting intensity of pixels with specific gray-scale values on the display (10) via a first amending function (Ca1, Cb1, Ca1', Cb1', C1, C1'), and adjusting intensity of other pixels excluding the foresaid pixels having the specific gray-scale values on the display (10) via a second amending function (Ca2, Ca2', C2). The first amending function (Ca1, Cbl, Ca1', Cbl', C1, C1') is varied according to the surrounding illumination, and the second amending function (Ca2, Ca2', C2) is not varied according to the surrounding illumination.