Gray-to-Gray Response Time Measurement Device
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Solution Overview
Problem
Existing measurement devices for liquid crystal displays (LCDs) face inaccuracies in measuring gray-to-gray response time due to noise interference, which affects image quality, as they typically measure transitions from black/white to full white/black rather than the more frequent gray-to-gray transitions.
Innovation Solution
A measurement device comprising a signal generating unit, data processing unit, and data acquisition unit that uses a synchronous message to precisely measure the gray-to-gray response time by converting optic signals into digital data, with components like a micro-controller, scaler, optic sensor, current-voltage converter, and analog-to-digital converter to synchronize and process the signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If black-and-white transition measurement is used, then measurement simplicity is maintained, but measurement accuracy deteriorates because it does not reflect actual gray-to-gray transitions that occur more frequently in practical use
Solution Approach 1:
The system performs preliminary actions by generating a sequence of gray level transition frames before actual measurement occurs. The synchronous message is embedded in advance to mark the start of each transition sequence, allowing the measurement system to be pre-synchronized and ready to capture the exact moment of transition, thereby enabling accurate gray-to-gray measurement without requiring complex real-time analysis
Solution Approach 2:
The system uses feedback by continuously monitoring the luminance signal and comparing it against expected transition patterns. The synchronous message provides a reference signal that feeds back to the control unit, allowing the system to adjust timing and confirm successful capture of the transition event, ensuring accurate measurement while maintaining operational simplicity
2Measurement precision
If synchronous message-based measurement is implemented, then measurement accuracy improves, but device complexity increases due to additional components like micro-controller, scaler, and synchronous message processing
Solution Approach 1:
The measurement device achieves multi-functionality by integrating several functions into unified components. The control unit handles both synchronous message processing and measurement control, the signal processing unit performs both scaling and conversion operations, and the optic sensor serves both as the detection element and the timing reference source. This consolidation reduces the number of separate components needed while maintaining high measurement precision
Solution Approach 2:
The synchronous message acts as an intermediary element that bridges the video signal and the measurement system. Instead of requiring direct complex interaction between the display and measurement equipment, the synchronous message serves as a standardized intermediate signal that simplifies the interface and coordination between different subsystems, enabling precise measurement without proportionally increasing device complexity
3Measurement precision
If noise filtering is applied to improve measurement accuracy in minimal optical variation ranges, then measurement precision improves, but measurement time increases due to additional processing requirements
Solution Approach 1:
Noise filtering and signal processing operations are performed in advance during the frame generation phase. The system pre-processes the luminance signal and prepares filtered data before the actual transition measurement begins, so that when the critical measurement moment occurs, the data is already ready for immediate analysis, avoiding time-consuming processing during the measurement window
Solution Approach 2:
The system uses the synchronous message to identify and rush through the critical measurement window. By knowing exactly when the transition starts, the system can skip over non-critical portions of the signal and focus processing resources only on the essential measurement period, reducing overall measurement cycle time while maintaining precision through targeted noise filtering only where necessary
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
Enables accurate measurement of gray-to-gray response time, improving image quality by reducing noise interference and providing precise data for image processing.
Implementation Method 1
an optic sensor, a current-voltage converter, a gain amplifier and an analog-to-digital converter. The optic sensor senses the optic signal and converts the optic signal into a current signal
Data Source
AI summary
The present invention discloses a measurement device for measuring the gray-to-gray response time. The measurement device is capable of precisely measuring the gray-to-gray response time of an LCD. According to a video signal comprising a synchronous message, the measurement device obtains the initial time and the final time of each gray-to-gray response time interval in the transition of LCD luminance, so as to achieve synchronous measurement of the LCD gray-to-gray response time.