Display Light Measurement Calibration for Multi-Mode Gamma Accuracy
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Solution Overview
Problem
Existing light measuring systems struggle to accurately measure luminance and chromaticity in displays that can emit light in multiple modes due to deviations in light emission conditions, leading to insufficient measurement accuracy and gamma adjustment errors.
Innovation Solution
A light measuring apparatus and system that stores calibration data for multiple gradations and light emission modes, using a hardware processor to calculate measurement target parameters with high accuracy by combining a light receiver, memory, and processor to correct measurements with user calibration data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If calibration data is created for only one luminance level at a specific panel drive frequency, then device complexity is reduced, but measurement precision deteriorates when deviation from calibration conditions occurs
Solution Approach 1:
The calibration data is segmented into multiple dimensions: multiple luminance levels (first and second luminance), multiple panel drive frequencies (first and second frequencies), and multiple gradation values. This segmentation allows the system to select appropriate calibration data based on actual measurement conditions, improving precision without requiring a single overly complex universal calibration set.
Solution Approach 2:
The system dynamically selects calibration data based on the actual luminance level and panel drive frequency during measurement. By matching the calibration data to the current operating conditions, the system maintains high measurement precision across varying conditions without requiring static calibration for all possible scenarios.
2Measurement precision
If calibration data for multiple gradations and light emission modes is stored, then measurement precision improves, but device complexity increases
Solution Approach 1:
Different calibration data are stored for different local conditions (luminance levels, panel drive frequencies, and gradation values). The system selects and applies the appropriate calibration data based on the specific measurement conditions, ensuring high precision for each local scenario without requiring a single complex universal calibration.
Solution Approach 2:
Calibration data for multiple conditions are pre-calculated and stored in advance. During actual measurement, the system simply retrieves the appropriate pre-prepared calibration data based on matching luminance level and panel drive frequency, avoiding the need for complex real-time calibration calculations.
3Ease of operation
If gamma adjustment is performed without considering multiple light emission modes, then ease of operation is improved, but reliability of gamma adjustment deteriorates
Solution Approach 1:
The system uses luminance information obtained from measurement as feedback to select appropriate calibration data and perform accurate gamma adjustment. By incorporating luminance feedback and matching it with corresponding calibration data, the system maintains reliability across different light emission modes while keeping the operation process straightforward.
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 luminance and chromaticity across varying light emission conditions, ensuring precise gamma adjustment by utilizing user calibration data for each light emission mode, reducing measurement errors and improving overall accuracy.
Implementation Method 1
a light receiver that receives light from a measurement target capable of emitting light
Data Source
AI summary
A light measuring apparatus includes a light receiver that receives light from a measurement target capable of emitting light, a memory that stores in advance calibration data corresponding to a plurality of gradations corresponding to a plurality of light emission modes of the measurement target for each color of light emitted from the measurement target, and a hardware processor that calculates light emission information including a measurement target parameter of the light received by the light receiver using a light intensity signal received by the light receiver and calibration data corresponding to a light emission state of the measurement target.