Camera System Distortion Correction via Vibration Reduction Decentering
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Solution Overview
Problem
Existing camera systems face increased processing load and memory resource requirements due to the need for two separate distortion corrections in the image pickup apparatus, which complicates precise distortion correction, especially when considering the shape variations caused by decentering of the vibration reduction optical system.
Innovation Solution
A camera system with an interchangeable lens and camera body that includes a vibration reduction optical system, a blur amount detection sensor, and a blur correction actuator, along with a processor that uses distortion correction information and a reference position conversion function to calculate and apply a converted displacement amount for precise distortion correction, simplifying the process by correlating the shape of distortion on the image plane with the displacement between the optical axis and image center.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If two separate distortion corrections are executed to improve precision, then distortion correction precision is improved, but processing load increases
Solution Approach 1:
The patent merges the two separate distortion corrections (static component correction and dynamic component correction) into a single integrated correction process. By combining the correction matrices and applying them simultaneously, the system achieves the same high precision as the two-step method while reducing processing load and memory resource requirements.
Solution Approach 2:
The patent creates a universal distortion correction method that handles both static and dynamic distortion components through a single correction framework. The correction matrix is designed to universally address all distortion types (barrel, pincushion, decentering) in one operation, eliminating the need for separate correction processes.
2Measurement precision
If two separate distortion corrections are executed to improve precision, then distortion correction precision is improved, but memory resource requirements increase
Solution Approach 1:
The patent merges the correction parameters and memory structures for both static and dynamic corrections into a single unified data structure. By combining the correction matrices and applying them simultaneously, the system achieves the same high precision as the two-step method while reducing memory resource requirements.
3Reliability
If the vibration reduction optical system is driven to correct blur, then blur suppression is improved, but distortion shape variation occurs
Solution Approach 1:
The patent applies preliminary distortion correction based on the driving amount of the vibration reduction optical system before final image processing. By calculating and applying the appropriate correction matrix in advance, the system compensates for the distortion shape variations that will occur during blur suppression, ensuring both blur correction and distortion accuracy.
Solution Approach 2:
The patent uses feedback from the vibration reduction optical system's driving amount to dynamically adjust the distortion correction parameters. The system continuously monitors the driving amount and applies corresponding distortion corrections, creating a closed-loop control that maintains both blur suppression performance and distortion accuracy.
Data Source
AI summary
According to one embodiment, camera system includes interchangeable lens and camera body. Camera body includes image sensor; reception circuit configured to acquire, first lens information including distortion correction information for correcting distortion of image pickup optical system, and function indicating correlation between shape of distortion on image plane, which corresponds to driving amount of vibration reduction optical system, and shape of distortion on image plane, which corresponds to displacement amount between optical axis and image center of photographed image; and processer configured to calculate converted displacement amount by using function, and to execute distortion correction, based on distortion correction information and converted displacement amount.