Image Correction With Gamma-Adaptive Color Calibration
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Solution Overview
Problem
Existing image correction methods fail to account for adjustments in the gamma curve of image acquisition devices, leading to inconsistencies between colors captured by the device and perceived by human eyes, resulting in color distortion.
Innovation Solution
A method and system that adjusts the correction coefficient based on the gamma curve adjustment by comparing frames captured before and after the gamma curve change, using adjustment coefficients to adapt the correction process, and incorporates reference color information for accurate color correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If gamma curve adjustment is applied to improve image contrast and brightness, then visual quality is improved, but color accuracy deteriorates due to inconsistency between device-captured colors and human-perceived colors
Solution Approach 1:
The system captures a second frame after gamma curve adjustment, compares it with the first frame to detect gamma changes, and uses this feedback to adjust the correction coefficient. This closed-loop feedback mechanism ensures that color correction adapts to gamma curve adjustments, maintaining color accuracy while preserving the visual quality improvements from gamma adjustment.
Solution Approach 2:
The system dynamically changes the correction coefficient parameter based on detected gamma curve adjustments. By monitoring frame differences and identifying gamma changes, the system adjusts the correction coefficient to compensate for color shifts, thereby maintaining color accuracy despite gamma curve modifications for improved brightness and contrast.
2Device complexity
If traditional color correction is applied without considering gamma curve changes, then processing simplicity is maintained, but color distortion occurs in the corrected images
Solution Approach 1:
The system performs self-detection of gamma curve adjustments by automatically comparing consecutive frames and identifying gamma changes. This self-service mechanism eliminates the need for external intervention or complex manual calibration, maintaining processing simplicity while achieving accurate color correction through automatic adaptation to gamma adjustments.
Solution Approach 2:
The system performs preliminary detection of gamma curve adjustments by comparing frames before applying color correction. By identifying gamma changes in advance, the system can pre-adjust the correction coefficient, ensuring accurate color correction is applied from the outset rather than requiring iterative refinement, thus maintaining processing efficiency.
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.