Image Capture System Vignetting Estimation and Correction
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Solution Overview
Problem
Image capture systems suffer from defects such as colored vignetting, luminance vignetting, non-uniform blur, and other optical and sensor-related issues, which lead to variations in acquired images that are not solely due to scene properties, causing discomfort and requiring costly calibration processes that are not effective for all shooting conditions and parameters.
Innovation Solution
A method and system for estimating colored vignetting defects in image capture systems, allowing for on-the-fly defect estimation without calibration, using image segmentation and regularization techniques to isolate and correct variations independent of scene conditions, enabling correction of defects that were previously uncorrectable.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If calibration processes are used to correct image capture system defects, then manufacturing precision is improved, but device complexity and production time increase
Solution Approach 1:
The system performs self-calibration by automatically detecting and correcting its own defects using the captured image data. The processor analyzes the image to identify systematic variations and applies corrections without requiring external calibration equipment or manual intervention, making the system self-sufficient in maintaining image quality
Solution Approach 2:
The system dynamically adjusts correction parameters based on the analyzed image data. By changing the correction parameters according to the detected systematic variations, the system adapts to different shooting conditions and defect patterns without requiring physical recalibration
2Manufacturing precision
If calibration processes are used to correct image capture system defects, then manufacturing precision is improved, but productivity decreases
Solution Approach 1:
The system performs preliminary defect analysis and correction parameter determination during the image capture process itself. By preparing the correction data in advance as part of the normal capture workflow, the system eliminates the need for separate calibration steps that would slow down production
Solution Approach 2:
The defect correction process operates continuously during normal image capture operations. The system maintains image quality correction as an ongoing process rather than an intermittent calibration step, ensuring continuous productivity without interruption
3Measurement precision
If traditional calibration methods are used, then measurement precision is improved for specific shooting conditions, but adaptability to different shooting conditions deteriorates
Solution Approach 1:
The system dynamically adapts its correction parameters based on the current shooting conditions detected in each image. Rather than using fixed calibration values, the processor continuously adjusts corrections according to the actual lighting, focus, and other parameters present in the captured image, enabling both precision and adaptability
Solution Approach 2:
The defect correction system serves multiple functions across different shooting conditions using a single unified approach. The same image analysis and correction mechanism works for various lighting conditions, focal lengths, and scene types, making the system universally applicable without condition-specific calibration
Data Source
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AI summary
A method for estimating the color vignetting defect of an image capture system, said defect producing, with respect to at least one first image acquired by the image capture system and representing any scene, a variation in the colorimetric field of the first image, is proposed, which includes: calculating a measure relating to the colorimetry of the first image; obtaining an estimated quantity of the color vignetting defect, from the calculated measure, and determining, from the quantity obtained, at least one correction parameter for said defect for at least one second image acquired by the image capture system, the second image being distinct from the first image.