Camera Iris Aperture Adjustment for Color Fringing Reduction
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Solution Overview
Problem
Existing methods for reducing color fringing in digital video are inadequate, particularly as they often rely on image analysis and can lead to inappropriate corrections, and high-quality lenses to mitigate chromatic aberration are costly.
Innovation Solution
A method involving a camera that acquires two digital image frames with different iris aperture sizes, comparing them to localize regions with disproportional intensity ratios, and reducing the specific color component in those regions for subsequent frames, thereby separating true colors from aberration-induced fringing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If high-quality lenses made from special material (such as fluorite) are used to reduce color fringing, then color fringing is reduced, but manufacturing cost increases significantly
Solution Approach 1:
The patent changes the aperture parameter by acquiring images at multiple aperture sizes. By comparing images taken at different apertures, the system identifies regions with color fringing through intensity ratio analysis, then selectively corrects only those regions in subsequently acquired images, avoiding the need for expensive specialized lenses.
2Object-affected harmful factors
If image analysis is used to identify and correct color fringing regions, then color fringing can be reduced, but false corrections occur in regions that are not actually affected
Solution Approach 1:
The patent uses an intermediary approach by introducing a reference image acquired at a different aperture size. This reference image serves as a mediator to indirectly identify color fringing regions through intensity ratio comparison, rather than directly analyzing the target image for fringing, thereby avoiding false detections.
Solution Approach 2:
The system changes the aperture parameter to acquire a reference image, then uses intensity ratio comparison between the reference and target images to precisely identify regions affected by color fringing. This parameter-based detection method improves accuracy by focusing correction only on truly affected regions.
3Object-affected harmful factors
If color fringing correction is applied to all regions near over-exposed areas, then potential fringing regions are covered, but inappropriate corrections are applied to regions without fringing
Solution Approach 1:
The patent applies local quality by selectively correcting only the specific regions identified as having color fringing through intensity ratio analysis, rather than applying uniform correction to all regions near over-exposed areas. This localized approach preserves image quality in regions without fringing while effectively correcting problematic areas.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach effectively reduces color fringing by selectively post-processing localized regions, improving image quality without relying solely on image analysis and reducing the need for high-cost lenses, while maintaining a smooth digital video stream.
Implementation Method 1
chromatic aberration, which is caused by the fact that the refractive index of light with respect to lens material varies due to its wavelength
Implementation Method 2
blue light, for example, may be focused before the image plane, which results in the blue light being out of focus at the image plane
Data Source
AI summary
The disclosure relates to a method, apparatus and system for detecting and reducing the effects of color fringing in digital video acquired by a camera comprising an iris. The method comprises: acquiring, by the camera, a first digital image frame using a first camera setting, including a first iris aperture size; acquiring, by the camera, a second digital image frame using a second camera setting, including a second iris aperture size, wherein the second aperture size is smaller than the first aperture size; comparing the first and the second digital image frame, at least a specific color component thereof; localizing regions having a disproportional intensity ratio in the specific color component between the first digital image frame and the second digital image frame; and reducing the specific color component in the localized regions for subsequently acquired digital image frames.


