Image Color Correction Scaling and Matrix
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Solution Overview
Problem
Current imaging systems face challenges in achieving accurate color reproduction and high color fidelity, particularly in varying lighting conditions and exposure levels, which affects the quality of images captured by detectors in imaging systems.
Innovation Solution
The method involves determining scaling values and applying a color correction matrix (CCM) to images, using a polynomial CCM that accounts for brightness differences and correlated color temperature, with scaling applied before and after CCM application to improve color accuracy and reduce exposure dependency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a standard color correction matrix (CCM) is applied to images, then color correction is achieved, but color accuracy deteriorates under varying brightness and exposure conditions
Solution Approach 1:
The patent applies dynamic scaling factors to the CCM that adapt to the brightness and exposure conditions of each image. Instead of using a fixed CCM, the system calculates scaling factors based on image-specific parameters and applies them to adjust the CCM output, making the color correction process adaptive to varying lighting conditions while maintaining color accuracy
Solution Approach 2:
The patent changes the parameters of the color correction process by introducing brightness-dependent scaling factors. The system modifies the standard CCM application by applying a first scaling factor to the input image and a second scaling factor to the CCM output, where these factors are determined based on image brightness and exposure characteristics, thereby maintaining color accuracy across different lighting conditions
2Measurement precision
If scaling values are applied before and after CCM to improve color accuracy, then color fidelity is improved, but processing complexity increases
Solution Approach 1:
The patent applies a first scaling factor to the input image before the CCM correction as a preliminary action. This pre-scaling adjusts the image based on brightness and exposure characteristics before color correction is applied, which simplifies the subsequent CCM operation and improves overall color fidelity by preparing the image data in advance
Solution Approach 2:
The system uses feedback from image analysis to determine the appropriate scaling factors. By analyzing image brightness and exposure characteristics and using this information to calculate scaling factors, the system creates a closed-loop process that automatically adjusts processing parameters based on actual image conditions, improving color fidelity without requiring manual intervention
Data Source
AI summary
Techniques for facilitating image color correction are provided. In one example, a method includes receiving an image. The method further includes determining, based at least on the image, a first scaling value and a second scaling value. The method further includes applying the first scaling value to the image to obtain a scaled image. The method further includes applying a color correction matrix (CCM) to the scaled image to obtain a CCM image. The method further includes applying the second scaling value to the CCM image to obtain a color corrected image. Related devices and systems are also provided.