Source Profile Calibration Using Visual White Patch Matching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current "What You See Is What You Get" methods for color matching between displays and printers are inadequate due to limitations in color gamut and ambient illumination variations, requiring complex processes and color science expertise, and fail to account for differences in viewing conditions.
Innovation Solution
A method and system for matching a source profile to a destination profile using test charts with color patches, where the source profile is adjusted by visually matching white, black, and gray patches to corresponding patches in a destination test chart, progressively generating modified test charts through transformations to achieve color calibration without instruments, accounting for ambient lighting and viewing conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If implicit color management matching is used between display and printer, then the process is simple, but the color matching accuracy is insufficient due to gamut limitations
Solution Approach 1:
The method performs preliminary color measurements and profile creations before the actual color matching process. By pre-measuring the display and printer characteristics and creating their respective color profiles, the system establishes a foundation for accurate color transformation without requiring complex real-time adjustments.
Solution Approach 2:
The invention transforms color values between different color spaces by changing parameters through profile connection spaces. The system converts display RGB values through an intermediate profile connection space to printer CMYK values, adjusting color parameters to account for gamut differences and achieve accurate color matching.
2Ease of operation
If traditional color matching methods are used, then the process is straightforward, but it requires color science expertise and specialized software
Solution Approach 1:
The system enables users to perform color calibration themselves through automated measurements and profile generation. The color measurement device automatically captures data from test charts, and the processing system autonomously creates and applies color profiles, eliminating the need for expert intervention in the calibration process.
Solution Approach 2:
The invention replaces manual color science expertise with an automated measurement and processing system. Instead of requiring users to understand color theory and manually adjust profiles, the system uses color measurement devices and automated algorithms to perform all calibration operations.
3Device complexity
If color calibration is performed without accounting for ambient illumination, then the process is simple, but the color perception varies under different viewing conditions
Solution Approach 1:
The method performs preliminary measurements under controlled viewing conditions to establish baseline color profiles. By measuring the display and printer characteristics in advance under known illumination conditions, the system creates profiles that can be adjusted for different viewing environments.
Solution Approach 2:
The invention adds the dimension of viewing condition compensation to the color matching process. By incorporating ambient illumination characteristics into the color transformation equations, the system adjusts color output to account for different lighting conditions, effectively adding an environmental dimension to the calibration.
Data Source
AI summary
At least certain embodiments of the disclosures relate to methods and data processing systems for matching a source profile to a destination profile. In one embodiment, a method includes providing a destination test chart and a corresponding first source test chart with each test chart having color patches. The method includes adjusting the source profile to substantially match a known or an unknown destination profile in response to receiving an input for visually matching an adjustable white color patch of the first source test chart to a corresponding white color patch of the destination test chart. The method includes progressively generating a second source test chart having modified at least some and possibly all color patches compared to the first displayed test chart based on applying a first transformation to the source profile in response to visually matching the white color patch.