Display Color Profiling Using Reference Mapping and Segmented Measurement
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Solution Overview
Problem
Current color profiling methods for display devices are time-consuming and complex, requiring a large number of physical color measurements, which slows down the production process and may not be sufficiently accurate.
Innovation Solution
A method that focuses on measuring a limited number of digital color values in high and low saturation regions of the color gamut, using a reference display device to determine core mapping, and generating color profile data using a conversion matrix or lookup table, allowing for efficient profiling of multiple display devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a large number of physical color values are measured for every display device, then the precision of the color profile model is improved, but the time required for profiling increases significantly
Solution Approach 1:
The color gamut is segmented into multiple regions (first region, second region, third region) with different measurement densities. High saturation colors in the first region are measured with fewer samples, while low saturation colors in the third region are measured with more samples. This segmentation allows the profiling process to focus measurement resources on critical areas, reducing overall measurement time while maintaining color accuracy where it matters most.
Solution Approach 2:
Different measurement strategies are applied to different regions of the color gamut based on their local characteristics. The first region (high saturation) uses a coarser measurement grid, the second region (intermediate saturation) uses a medium grid, and the third region (low saturation) uses a finer grid. This local quality approach ensures that each region is measured with appropriate precision, optimizing the balance between profiling time and color accuracy.
2Manufacturing precision
If a large number of physical color values are measured for every display device, then the completeness of color gamut coverage is improved, but the complexity of the profiling process increases
Solution Approach 1:
The color gamut measurement process is segmented into three distinct regions with different measurement requirements. This segmentation simplifies the overall process by breaking down the complex task of measuring the entire color space into manageable portions, each with its own optimized measurement strategy, reducing the overall process complexity while maintaining complete color gamut coverage.
Solution Approach 2:
The measurement parameters (number of color values, saturation levels, brightness levels) are changed according to the specific region being measured. By adapting the measurement parameters to the local characteristics of each color gamut region, the profiling process becomes more efficient and less complex, while still achieving comprehensive color gamut coverage through the combination of all regional measurements.
3Measurement precision
If color profiling is performed on every display device individually, then the accuracy of color representation is improved, but the productivity of the production process decreases
Solution Approach 1:
The color profiling process is segmented into essential measurements that can be performed quickly on each device and optional detailed measurements that provide enhanced accuracy for specific applications. This allows production lines to perform basic profiling on all devices to maintain acceptable color representation accuracy, while enabling selective detailed profiling only for devices or applications requiring higher precision, thereby maintaining productivity while ensuring color accuracy.
Data Source
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AI summary
A method for color profiling of a display device is described. The method comprises applying a plurality of digital color values to the display device, wherein the digital color values are located in a high saturation region of an input color space, and measuring a plurality of physical color values output by the display device, the physical color values being associated with the applied digital color values. The method further comprises generating color profile data for the display device by determining a mapping of digital color values of the full input color space to physical color values output by the display device, based on the measured physical color values and based on a core mapping. The core mapping is a mapping of digital color values of a low saturation region of the input color space to physical color values output by a reference display device and the low saturation region comprises low saturation digital color values that are not comprised by the high saturation region. Further, a computer program product and a device for color profiling of a display device are described.