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

VSEngineering 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

Engineering Contradiction:
Improvedistortion correction accuracyVSAvoidprocessing complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

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

Inventive Principle:
Principle #15Dynamics

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

Inventive Principle:
Principle #35Parameter changes

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

Engineering Contradiction:
Improvedistortion correction accuracyVSAvoiddata storage amount
Core Design Contradiction:
Measurement precisionVSQuantity of substance

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

Inventive Principle:
Principle #6Universality (Multi-functionality)

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

Inventive Principle:
Principle #35Parameter changes

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

Engineering Contradiction:
Improveresolution adaptabilityVSAvoidcalculation processing complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

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

Inventive Principle:
Principle #35Parameter changes

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

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS20250310641A1Processing apparatus, image pickup apparatus, lens apparatus, imaging system, image processing apparatus, system, processing method, and storage medium
Publication Date: 2025.10.02 CANON KK
  • US20250310641A1 patent drawing
  • US20250310641A1 patent drawing
  • US20250310641A1 patent drawing

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.