Resolution-Scaled Image Processing for Distortion Correction
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Solution Overview
Problem
Existing image processing systems face challenges in accurately correcting distortions in combined virtual and real-space images due to improper handling of focal lengths and image center coordinates, especially when resolutions change, leading to inadequate distortion correction.
Innovation Solution
The system calculates and transmits distortion correcting information within the imaging system based on the imaging and output resolutions, using proportional relationships to ensure accurate distortion correction by adjusting focal lengths and image center coordinates, reducing data storage requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If distortion correction data is stored for multiple resolutions, then distortion correction accuracy is improved, but data storage requirements increase
Solution Approach 1:
The patent extracts only the essential distortion correction parameters (focal length and image center coordinates) needed for accurate correction, rather than storing complete distortion correction datasets for multiple resolutions. This selective extraction reduces data storage requirements while maintaining correction accuracy through proportional calculations.
Solution Approach 2:
Instead of storing distortion correction data for each resolution and looking it up, the patent inverts the approach by storing base resolution parameters and calculating other resolutions proportionally. This inversion reduces storage needs by keeping only the minimum necessary data.
2Productivity
If distortion correction is performed using conventional methods, then processing speed is maintained, but correction accuracy deteriorates when resolutions change
Solution Approach 1:
The patent changes the parameters being stored and processed - instead of storing complete distortion correction maps for each resolution, it stores and transmits only focal length and image center coordinates. These parameters can be quickly scaled proportionally to any resolution, maintaining both processing speed and accuracy.
3Measurement precision
If complete distortion correction data is transmitted, then correction accuracy is improved, but communication data volume increases
Solution Approach 1:
The patent extracts only the critical parameters (focal length and image center coordinates) from complete distortion correction data for transmission. These extracted parameters contain the essential information needed to generate accurate distortion correction at any resolution through proportional scaling, dramatically reducing communication data volume.
Solution Approach 2:
Instead of transmitting actual distortion correction data for each resolution, the patent transmits base parameters that can be copied and scaled proportionally to generate correction data for any required resolution, reducing communication overhead while maintaining accuracy.
Data Source
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AI summary
A processing apparatus (2) includes a first acquiring unit (41) configured to acquire an imaging resolution and an output resolution, and a second acquiring unit (42) configured to 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.