Camera Module Test Apparatus Color Filter Coefficient Calibration
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Solution Overview
Problem
Current camera module test apparatuses lack efficient methods for determining defects and calibrating image sensors, particularly in distinguishing between different color filter arrangements, which affects the performance and accuracy of image generation in camera modules.
Innovation Solution
A camera module test system that includes a coefficient data extractor and a test apparatus, which generates coefficient data based on the ratio of color image signals from different color filters and uses this data to convert image signals into calibrated patterns, allowing for the identification of defects and calibration of camera modules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If coefficient data is generated based on ratios of color image signals from different color filter arrangements, then measurement precision of image sensor defects is improved, but device complexity increases due to multiple coefficient data sets
Solution Approach 1:
The patent segments coefficient data into separate data sets corresponding to different color filter arrangements (e.g., RGB, BGR). Each coefficient data set is specifically optimized for its corresponding arrangement, allowing precise defect detection without requiring a single complex universal model. The test apparatus selectively applies the appropriate segmented coefficient data based on the detected color filter arrangement.
Solution Approach 2:
The patent changes parameters by generating different coefficient data sets with distinct numerical values tailored to each color filter arrangement. The system detects which arrangement is present and switches between corresponding coefficient data sets, effectively adapting the measurement parameters to match the specific sensor configuration, thereby improving measurement precision without permanent complexity.
2Adaptability or versatility
If multiple coefficient data sets are stored for different color filter arrangements, then adaptability of the test apparatus is improved, but memory requirements and data processing time increase
Solution Approach 1:
The patent performs preliminary action by pre-generating and storing multiple coefficient data sets corresponding to different color filter arrangements before actual testing begins. The test apparatus includes detection functionality that identifies the specific arrangement present in the image sensor, then selectively retrieves and applies the corresponding pre-prepared coefficient data set. This approach enables high adaptability across different sensor types while managing data volume through selective usage rather than simultaneous processing of all data sets.
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
This approach improves the performance and accuracy of camera modules by enabling effective defect detection and calibration, enhancing image quality and reducing testing time across various color filter configurations.
Implementation Method 1
Each of the pixels may include, for example, a photodiode (PD). The photodiodes convert incident light into electrical signals.
Data Source
AI summary
A camera module test apparatus having improved performance include a coefficient data extractor that accommodates a camera module; and a test apparatus that accommodates the camera module and tests the camera module. The coefficient data extractor includes a coefficient generator that receives an image signal output from the camera module, and generates coefficient data of a ratio of a first color image signal and a second color image signal included in the image signal; and a memory device that stores the generated coefficient data. The test apparatus includes an image generator that receives an image signal from the camera module and coefficient data from the memory device, and generates a converted pattern image signal based on the image signal and the coefficient data; and a calibration data generator that generates calibration data of the converted pattern image signal.