Color Temperature Curve Correction for Display Devices
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Solution Overview
Problem
Display devices face challenges in maintaining uniform luminous ratios of primary colors, leading to instability in color performance, especially at low brightness levels, which affects the display effect and requires precise correction of color temperature.
Innovation Solution
A correction method for the color temperature curve is implemented, where pixel values are obtained, and standard pixel values are determined and used to correct second pixel values within specific intervals to ensure color temperature values fall within a preset range, improving accuracy and stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional correction methods are used, then correction process is simple, but color temperature accuracy deteriorates at low brightness levels
Solution Approach 1:
The patent segments the correction process into two distinct stages: first correcting pixel values at maximum brightness to establish reference points, then using linear interpolation to correct pixel values at other brightness levels. This segmentation allows each stage to be optimized independently, improving overall color temperature accuracy without compromising stability.
Solution Approach 2:
The patent performs preliminary correction at maximum brightness level first, establishing accurate reference pixel values before proceeding to correct values at lower brightness levels. This preliminary action ensures that the baseline for subsequent corrections is accurate, preventing error propagation and maintaining color performance stability across all brightness levels.
2Productivity
If pixel values are corrected without segmentation, then correction process is fast, but color temperature stability deteriorates across different brightness levels
Solution Approach 1:
The correction process is divided into segmented stages: maximum brightness correction followed by interpolated corrections at other brightness levels. This segmentation maintains color temperature stability by ensuring each brightness level is corrected based on accurate reference points while preserving the relative relationships between different brightness levels, avoiding the need for complex full-range corrections.
Solution Approach 2:
The patent applies partial correction action by focusing correction efforts on maximum brightness points and using linear interpolation for intermediate values. This approach corrects only the critical reference points with full precision while deriving other values through interpolation, maintaining color temperature stability without the computational overhead of correcting every pixel value independently.
3Measurement precision
If linear interpolation is used for correction, then correction accuracy is improved, but device complexity increases
Solution Approach 1:
The patent performs preliminary correction of maximum brightness pixel values to establish accurate reference points before applying linear interpolation. This preliminary action simplifies the overall algorithm by separating the complex correction task into a simple reference establishment phase followed by a straightforward interpolation phase, reducing computational complexity while maintaining high accuracy.
Solution Approach 2:
The patent uses linear interpolation as an intermediary method to derive corrected pixel values at intermediate brightness levels between the corrected maximum brightness reference points. This intermediary approach provides accurate correction results without requiring complex correction algorithms for each individual brightness level, balancing accuracy and computational simplicity.
Data Source
AI summary
A correction method for a color temperature curve includes: obtaining pixel values of a display device, and the pixel values including at least two first pixel values and second pixel values; obtaining at least two first standard pixel values according to the at least two first pixel values, and a color temperature value corresponding to each first standard pixel value being a standard color temperature value; determining at least one correction interval according to the at least two first standard pixel values and the second pixel values, and a correction interval including two first standard pixel values and at least two second pixel values therebetween; and correcting the at least two second pixel values to obtain at least two second standard pixel values according to the two first standard pixel values, and a color temperature value corresponding to each second standard pixel value being within a preset color temperature range.


