Master-Slave Camera Color Matching With Chart-Based Conversion
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Solution Overview
Problem
Existing multi-camera systems lack a method for accurately matching colors across multiple cameras, as the difference in colors between reference and non-reference cameras is not adequately addressed, leading to potential discomfort when viewing images captured by different cameras.
Innovation Solution
An information processing system that includes a master and slave imaging apparatus, where the master apparatus captures a chart image, and the information processing apparatus calculates a color conversion coefficient based on this image, which is then sent to the slave apparatus to adjust its color gamut and achieve color matching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If color matching processing is performed in multi-camera systems, then color consistency across cameras is improved, but the complexity of the system increases due to lack of specific methods for calculating color differences between reference and non-reference cameras
Solution Approach 1:
A color conversion coefficient calculation unit is introduced as an intermediary component that automatically calculates color conversion coefficients based on chart images captured by master and slave cameras. This intermediary unit resolves the technical contradiction by providing a specific automated method for color difference calculation, thereby improving color consistency without requiring complex manual calibration procedures from users.
Solution Approach 2:
The system changes the parameter of color conversion by calculating specific color conversion coefficients that transform color values from slave cameras to match the reference camera's color characteristics. By dynamically adjusting these color parameters based on captured chart images, the system achieves accurate color matching while maintaining operational simplicity.
2Measurement precision
If color conversion coefficients are calculated based on chart images from master and slave cameras, then color matching accuracy is improved, but the processing time and complexity increase
Solution Approach 1:
The system performs preliminary color calibration by capturing chart images and calculating color conversion coefficients before actual photography operations. This preliminary action ensures that color matching is established in advance, allowing for accurate color reproduction during subsequent photography without requiring real-time processing, thus maintaining both high accuracy and efficiency.
Solution Approach 2:
The system creates a color reference model by capturing a chart image with the master camera and uses this copied reference to calculate conversion coefficients for slave cameras. This copying approach enables accurate color matching by replicating the master camera's color characteristics without requiring complex iterative processing during actual operation.
3Stability of the object's composition
If a master-slave camera system is implemented for color matching, then color gamut consistency is improved, but the operational complexity and setup requirements increase
Solution Approach 1:
The color conversion coefficient calculation unit is designed to be universally applicable across different camera models and configurations. By implementing a multi-functional system that can handle various chart types and camera combinations through a unified calculation approach, the system achieves stable color gamut consistency while maintaining ease of operation through standardized procedures.
Solution Approach 2:
The system enables self-service color calibration by automatically calculating color conversion coefficients based on chart images captured by the cameras themselves. This self-service mechanism eliminates the need for external calibration equipment or complex manual procedures, thereby improving color gamut consistency while simplifying the setup process for users.
Data Source
AI summary
There are provided an information processing system, an information processing apparatus, an information processing method, an information processing program, an imaging apparatus, a method of controlling the imaging apparatus, and a control program capable of easily performing color matching in a plurality of imaging apparatuses. The information processing system includes: an imaging apparatus that operates in a master mode; at least one imaging apparatus that operates in a slave mode; and an information processing apparatus. Each of the imaging apparatus in the master mode and the imaging apparatus in the slave mode sends a chart image generated by capturing an image of a specific chart to the information processing apparatus, and the information processing apparatus calculates a color conversion coefficient in the imaging apparatus in the slave mode on the basis of the chart image generated by the imaging apparatus in the master mode, and sends the color conversion coefficient to the imaging apparatus corresponding to the color conversion coefficient.