Ambient-Illuminance Image Enhancement for Display Fade Compensation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional display devices experience a reduction in image clarity due to the 'fade' phenomenon, where high ambient illuminance decreases luminance contrast, leading to ineffective control or compensation of this issue through simple expansion of luminance distribution.
Innovation Solution
An image enhancement method and apparatus that calculates and adjusts luminance contrast by considering ambient illuminance, using original-luminance contrast, fade-luminance, defade-luminance, and display-luminance calculations to maintain image clarity, involving low pass filters, weight addition, and luminance limiting within predetermined ranges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If simple expansion of luminance distribution is used to improve luminance contrast, then luminance contrast is improved to some extent, but the fade phenomenon is not effectively controlled or compensated due to limited range of expansion
Solution Approach 1:
The patent transforms the luminance distribution parameters by calculating defade luminance values that compensate for ambient illuminance effects. Instead of simple expansion, it adjusts the luminance parameters (mean and standard deviation) based on measured ambient light conditions, thereby effectively controlling the fade phenomenon while maintaining natural image appearance.
Solution Approach 2:
The patent implements a feedback mechanism by measuring ambient illuminance and using it to dynamically adjust the luminance distribution of the displayed image. The system continuously monitors ambient light conditions and modifies the luminance parameters accordingly, creating a closed-loop control system that effectively compensates for fade phenomenon under varying lighting conditions.
2Illumination intensity
If luminance distribution is expanded to compensate for fade phenomenon, then luminance contrast improves, but the image may exceed displayable luminance ranges
Solution Approach 1:
The patent applies parameter transformation by calculating defade luminance values and then clipping them to valid display ranges. It modifies the luminance parameters through mathematical operations (adding contrast compensation) and subsequently constrains them within displayable boundaries, thereby improving luminance contrast without producing invalid luminance values.
Solution Approach 2:
The patent performs beforehand cushioning by calculating the required luminance compensation in advance and then applying limiting operations to ensure the final luminance values remain within valid ranges. This preventive approach avoids the generation of out-of-range luminance values that would be harmful to the display system.
3Reliability
If luminance contrast is enhanced to reduce fade phenomenon, then image clarity improves in bright environments, but the complexity of luminance adjustment increases
Solution Approach 1:
The patent implements self-service by automatically measuring ambient illuminance and computing the appropriate luminance adjustment parameters without user intervention. The system autonomously determines the fade compensation needed and applies the appropriate luminance transformation, eliminating the need for manual settings or complex user interactions.
Solution Approach 2:
The patent simplifies the adjustment process by using parameter transformation based on ambient illuminance measurements. Instead of complex multi-dimensional adjustments, it modifies key luminance parameters (mean and standard deviation) through straightforward mathematical operations, thereby maintaining image clarity while minimizing adjustment complexity.
Data Source
AI summary
A method of and an apparatus for image enhancement taking ambient illuminance into consideration. The image enhancement method includes calculating an original-luminance contrast which is a luminance contrast with respect to an original-luminance of pixels forming an original image, calculating a fade-luminance by reflecting the variation of perceived luminance based on an ambient illuminance into the original-luminance, calculating a defade-luminance by converting the fade-luminance to maintain the original-luminance contrast, and calculating a display-luminance by reflecting the variation of perceived luminance by the ambient illuminance into the defade-luminance. Improving luminance contrast through adjustment of luminance based on ambient illuminance, effectively reduces the fade phenomenon.