Chromatic Calibration for Embedded Mobile Cameras
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Solution Overview
Problem
Embedded cameras in devices like smartphones often fail to accurately represent colors due to limited detector responsiveness and shortcomings in image processing software, making chromatic calibration time-consuming and inefficient.
Innovation Solution
A method and apparatus for chromatic calibration that involves illuminating color references with a light source, capturing images, determining color calibration data, and storing it with a device identifier, using a processor to select appropriate light sources and color models to correct chromatic values in captured images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If individualized chromatic calibration is performed on each device, then color accuracy is improved, but calibration time increases
Solution Approach 1:
The calibration process is segmented into two parts: a common calibration profile applicable to all devices of the same model, and device-specific adjustment parameters. This allows the majority of calibration work to be done once at the model level, while minimal individual adjustments are made per device, resolving the contradiction between comprehensive calibration and time efficiency.
Solution Approach 2:
A master calibration profile is created in advance for each device model using representative samples. This preliminary calibration captures the common characteristics of all devices in a model batch, eliminating the need to perform complete calibration individually on each device, thus reducing calibration time while maintaining color accuracy.
2Adaptability or versatility
If multiple color references are calibrated, then color coverage is improved, but processing complexity increases
Solution Approach 1:
The system uses parameter transformation to convert calibration data from different color reference standards into a unified color space model. By changing the parameters of color representation and using mathematical transformations, the system can handle multiple color references without proportionally increasing processing complexity, as the transformations follow standardized algorithms.
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 enables efficient chromatic calibration of embedded cameras by determining and applying color correction data, improving color representation accuracy without the need for individualized calibration on each device, thus enhancing image quality.
Implementation Method 1
illuminating a plurality of color references with at least one light source
Data Source
AI summary
Chromatic calibration of a device having an embedded camera proceeds by illuminating a plurality of color references with at least one light source. Images of the respective illuminated color references are captured with the embedded camera. Color calibration data from are determined from the captured images and the color calibration data are stored in association with an identifier of the device.