Halo Test Method for Display Devices Using Backlight Partition Analysis
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Solution Overview
Problem
Current methods for evaluating halo in display devices lack standardization, leading to inaccurate representation of display quality due to neglecting the effect of backlight partition size on halo test results.
Innovation Solution
A halo test method that selects multiple test regions with varying sizes corresponding to integer and non-integer multiples of backlight partitions, lights up a target region with a preset grey scale, measures luminances of unlit pixel points, and calculates normalized grey scale differences to determine a representative halo value.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional halo test methods are used without considering backlight partition size, then the test process is simple, but the measurement precision of halo evaluation is poor
Solution Approach 1:
The patent changes the test parameters by introducing multiple test regions with different sizes corresponding to integer and non-integer multiples of backlight partition sizes. This allows the halo test to account for the actual impact of backlight partition dimensions on halo perception, thereby improving measurement precision without excessively complicating the test methodology
Solution Approach 2:
The patent divides the display region into multiple to-be-tested regions, each corresponding to different numbers of backlight partitions (integer and non-integer multiples). By segmenting the test into multiple regions and calculating weighted average halo values, the method achieves more accurate halo evaluation that reflects real viewing conditions
2Adaptability or versatility
If single test region method is used, then the test operation is simple, but the adaptability to different display devices is poor
Solution Approach 1:
The patent creates a universal halo test method that can be applied to different display devices with varying backlight partition configurations. By defining test regions based on multiples of backlight partition sizes and using weighted average calculations, the method adapts to different device types while maintaining a consistent operational framework
Solution Approach 2:
The patent introduces dynamic adaptability by allowing the selection of multiple test regions based on the specific backlight partition configuration of each display device. The weighted average halo value calculation dynamically adjusts according to the measured halo values from different regions, making the test method versatile across various device types
Data Source
AI summary
A halo test method includes selecting one or more to-be-tested regions from a to-be-tested display device; and lighting up a target test region with a preset grey scale; and then obtaining luminances where a plurality of unlit pixel points within a preset range from the target test region are located, and obtaining the normalized grey scales corresponding to the luminances where each unlit pixel point is located; and then based on the normalized grey scale corresponding to the luminance, obtaining normalized grey scale difference information measured in the target test region; and obtaining a halo value of the to-be-tested display device based on the normalized grey scale difference information measured in the one or more to-be-tested regions.