Image Processing for Resolution-Adaptive Distortion Correction
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Solution Overview
Problem
Existing image processing systems face challenges in accurately correcting distortions when imaging resolution and output resolution are mismatched, leading to improper focal length and image center coordinate relationships, resulting in inadequate distortion correction.
Innovation Solution
The system calculates and transmits focal lengths per pitch and image center coordinates based on the imaging and output resolutions within the imaging system, using distortion correction coefficients to ensure accurate distortion correction while minimizing data storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If distortion correction is performed using conventional methods with fixed focal length and image center coordinates, then the processing is simple, but the distortion correction accuracy deteriorates when imaging resolution and output resolution are mismatched
Solution Approach 1:
The patent applies dynamics by making the focal length and image center coordinates variable rather than fixed. The system dynamically adjusts these parameters based on the imaging resolution and output resolution relationship, calculating appropriate values when resolutions are mismatched to maintain accurate distortion correction across different resolution scenarios
Solution Approach 2:
The patent changes the parameters of focal length and image center coordinates according to the resolution relationship. By calculating and adjusting these parameters based on the ratio between imaging resolution and output resolution, the system achieves accurate distortion correction for both down-sampling and up-sampling cases without requiring separate correction data for each resolution combination
2Measurement precision
If separate distortion correction data is stored for each resolution combination, then the distortion correction accuracy is maintained, but the data storage requirements increase
Solution Approach 1:
The patent creates a universal distortion correction method that works across multiple resolution combinations. By calculating focal length and image center coordinates based on the resolution ratio, a single set of base distortion correction data can be applied universally to different imaging and output resolution scenarios, eliminating the need to store separate correction data for each resolution pair
Solution Approach 2:
The system changes the focal length and image center coordinate parameters dynamically based on resolution relationships, allowing the same distortion correction data to be reused across different resolutions. This parameter adaptation approach maintains correction accuracy while avoiding redundant data storage
3Adaptability or versatility
If the system calculates focal length and image center coordinates based on imaging and output resolutions, then the adaptability to different resolutions is improved, but the processing complexity increases
Solution Approach 1:
The patent changes parameters (focal length and image center coordinates) based on a simple resolution ratio calculation. The processing complexity is minimized by using a straightforward mathematical relationship (imaging resolution divided by output resolution) to determine parameter adjustments, making the calculation efficient and easy to implement
Solution Approach 2:
The system applies local quality by calculating parameters specifically for the given resolution relationship rather than using a one-size-fits-all approach. The focal length and image center coordinates are locally optimized for each imaging-output resolution pair, ensuring accurate distortion correction tailored to the specific resolution scenario
Data Source
AI summary
A processing apparatus includes a processor configured to acquire an imaging resolution and an output resolution, and acquire information on a focal length of an optical system and center position information on an image according to the imaging resolution and the output resolution.


