Color Mapping Table Generation for Display Color Correction
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Solution Overview
Problem
Current display technologies face challenges in achieving perfect color expression across different screens due to variations in display characteristics, leading to inconsistencies in color representation.
Innovation Solution
A method and apparatus for generating a color mapping table that corrects color by establishing a sampling point space, determining target color coordinates through non-linear conversions based on display attribute information, and using interpolation algorithms to achieve accurate color representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If color correction is performed using traditional methods, then color consistency can be improved, but the computational complexity and processing time increase significantly
Solution Approach 1:
The color space is divided into multiple sampling points arranged in a grid structure. Instead of processing the entire continuous color space, the method segments it into discrete sampling points where correction data is pre-calculated and stored. This segmentation allows complex color correction to be broken down into manageable lookup table entries, reducing real-time computational complexity while maintaining color consistency.
Solution Approach 2:
The color mapping table is pre-calculated and generated before actual color correction operations. The correction data for all sampling points is computed in advance and stored in a lookup table. During runtime, color correction simply involves table lookups and interpolation, which are computationally inexpensive operations compared to real-time complex color space transformations.
2Measurement precision
If the number of sampling points is increased to improve color accuracy, then color precision improves, but the memory requirements and processing load increase
Solution Approach 1:
The method uses a finite number of sampling points that are sufficient to capture the essential color characteristics of the display panel, rather than attempting to cover every possible color value. The sampling density is optimized to provide adequate color accuracy without unnecessarily increasing memory requirements. Interpolation between sampling points provides sufficient precision for practical applications.
Solution Approach 2:
The method optimizes the distribution and density of sampling points based on the specific characteristics of the display panel. By adjusting the sampling parameters (number of points, grid spacing, color space distribution), the system achieves an optimal balance between color accuracy and memory usage. The sampling strategy can be adapted to different display types and color gamuts.
3Speed
If color correction processing is performed in real-time, then responsiveness is improved, but the computational resources required increase
Solution Approach 1:
The color mapping table is generated in advance and stored for quick access during color correction operations. The computationally intensive tasks of color space transformations and coordinate calculations are performed beforehand and saved in the lookup table. During real-time operation, the system only needs to perform simple table lookups and linear interpolations, which require minimal computational resources and can be executed rapidly.
Solution Approach 2:
The method replaces complex real-time computational algorithms with a pre-computed lookup table approach. Instead of performing iterative optimization or complex mathematical transformations during real-time color correction, the system substitutes these with simple array indexing and linear interpolation operations, which are much less computationally demanding and can be executed efficiently on resource-constrained devices.
Data Source
AI summary
A method of generating a color mapping table for correcting color of a display panel, including: establishing a sampling point space, according to first color coordinates of a plurality of sampling points in a first color space; and performing steps of a preset processing on each of the plurality of sampling points, to obtain target color coordinates of the sampling point in the first color space, and generating the color mapping table according to the first color coordinates and the target color coordinates of the plurality of sampling points, where the steps of the preset processing on each of the plurality of sampling point include: taking the sampling point as a source sampling point, and determining a target sampling point corresponding to the source sampling point; and processing the target sampling point, to obtain the target color coordinates.