Image Correction Coefficient Adjustment for Gamma Curve Changes
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Solution Overview
Problem
Existing technologies fail to address the inconsistency in gamma curves, resulting in color distortion in images, thereby affecting the effectiveness of the color distortion in images, which are the challenges of the existing technologies in the field of image correction.
Innovation Solution
The method involves obtaining a first frame and a second frame captured by an image acquisition device, determining if the gamma curve has been adjusted, and adjusting the correction coefficient based on the first and second frames to account for gamma curve adjustments, thereby reducing color distortion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If gamma curve adjustment is applied to enhance image contrast, then image visual quality is improved, but color accuracy deteriorates due to inconsistency between gamma curves and human perception
Solution Approach 1:
The patent transforms the gamma curve adjustment from a direct contrast enhancement method into a parameter transformation process. By converting image data through gamma correction with a specific gamma value (e.g., 2.2) and then applying color correction coefficients, the system changes the parameters in a controlled sequence that maintains both contrast improvement and color accuracy. The key is using the gamma-corrected image as input for color correction rather than applying gamma adjustment as a final step.
Solution Approach 2:
The patent introduces an intermediary color correction process between image acquisition and final display. This intermediary step uses color correction coefficients to compensate for the color distortion introduced by gamma curve adjustment. The color correction module acts as a mediator that reconciles the contrast enhancement from gamma adjustment with the need for accurate color representation, ensuring that both goals can be achieved simultaneously.
2Device complexity
If color correction is performed without considering gamma curve adjustments, then processing simplicity is maintained, but color distortion occurs in the corrected image
Solution Approach 1:
The patent applies preliminary gamma correction to the image data before performing color correction. By pre-processing the image through gamma correction with a known gamma value, the system establishes a consistent baseline that allows subsequent color correction to be more accurate. This preliminary action ensures that the color correction coefficients can be calculated and applied effectively, improving overall color correction accuracy without significantly increasing processing complexity.
Solution Approach 2:
The patent implements a feedback mechanism where the system determines whether gamma curve adjustment has been applied to the input image and automatically adjusts the color correction process accordingly. The color correction module receives feedback about the gamma status and modifies its processing - either applying full color correction for gamma-corrected images or adjusting the correction coefficients for non-gamma images. This feedback-based approach maintains color accuracy while adapting to different input conditions without requiring complex manual configuration.
Data Source
AI summary
The present disclosure provides methods and systems for image correction. The method may include obtaining a first frame captured by an image acquisition device, a second frame captured by the image acquisition device prior to the first frame, and a correction coefficient of the first frame; determining, based on the first frame and the second frame, whether a gamma curve of the image acquisition device has been adjusted; in response to determining that the gamma curve of the image acquisition device has been adjusted, determining an adjustment coefficient of the correction coefficient based on the first frame and the second frame; and adjusting, based on the adjustment coefficient, the correction coefficient of the first frame.