Residual Image Detection Using Grayscale Brightness Variation
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Solution Overview
Problem
Current methods for determining residual image levels on display devices are subjective and lack accuracy, leading to inconsistent results and hindering improvements in display performance.
Innovation Solution
A method and device that convert display images into grayscale, detect brightness variations, and calculate residual image levels using predetermined relationships between actual and theoretical brightness values, improving detection accuracy through a signal generator, shooting device, and control unit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If visual observation by human eyes is used to determine residual image level, then the detection process is simple, but the accuracy and objectivity of residual image detection deteriorates
Solution Approach 1:
The patent replaces the mechanical/visual observation system with an automated detection system comprising a signal generator, display device, shooting device (camera), and processor. The system automatically captures images, converts them to grayscale, calculates brightness values, and determines residual image levels through computational processing, eliminating subjective human visual assessment while maintaining operational simplicity through automation.
2Adaptability or versatility
If different people perform visual observation, then various opinions are obtained, but the consistency and uniformity of detection standards deteriorates
Solution Approach 1:
The patent establishes standardized parameters for residual image detection including grayscale conversion levels, brightness calculation methods, and threshold criteria. The system processes all detection positions using identical algorithms and parameters, ensuring that different operators will obtain consistent results. The standardized parameters include converting to grayscale with specific levels, calculating average brightness values, and comparing against predetermined thresholds to determine residual image levels.
3Measurement precision
If automated detection system is implemented, then the accuracy and objectivity of residual image detection improves, but the device complexity increases
Solution Approach 1:
The patent employs a multi-functional integrated system where the signal generator produces test patterns, the display device presents images, the shooting device captures both color and grayscale images, and the processor performs multiple functions including image conversion, brightness calculation, and residual image level determination. This universal system handles the entire detection workflow through a single coordinated apparatus, reducing operational complexity despite the multiple components involved.
4Measurement precision
If multiple detection positions are set based on image type, then the comprehensive coverage of residual image detection improves, but the detection time increases
Solution Approach 1:
The patent divides the display screen into multiple detection positions based on the displayed image type. For uniform images, fewer positions are required, while for images with gradients or patterns, more positions are automatically selected. The system segments the detection task by identifying key positions where residual images are most likely to manifest, processing only those specific locations rather than the entire screen, thus balancing comprehensive coverage with reduced detection time.
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
Enhances the accuracy and objectivity of residual image detection, allowing for precise determination and adjustment of grayscale levels to eliminate residual images, thereby improving display device performance.
Implementation Method 1
a shooting device (40) is configured to acquire brightness values of the display device (30) when displaying different images
Data Source
AI summary
A method for determining a residual image level of a display device and a detection device. The method includes: lighting the display device based on a setting image type, and setting a plurality of detection positions on the display device based on the setting image type; converting a display image on the display device into a grayscale image with a setting level; detecting an actual brightness value of each detection position within a setting time after converting into a grayscale of the setting level; for each detection position, acquiring a brightness variation index of the detection position based on the acquired actual brightness value and a corresponding predetermined relationship between the actual brightness value and a theoretical brightness value of the grayscale of the setting level; and acquiring an residual image level of the display device in the grayscale of the setting level based on the acquired brightness variation index.