Correction Lens Unit Aberration Control via Learned Model
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Solution Overview
Problem
Existing image pickup systems cannot effectively correct aberrations in addition to focus detection errors, which can degrade image quality over time.
Innovation Solution
An image pickup apparatus with a correction lens unit, driving device, and controller that uses a learned model to identify and correct aberrations in real-time by moving lens units based on aberration data obtained from picked-up images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a correction lens unit is added to correct aberrations, then image quality is improved, but device complexity increases
Solution Approach 1:
The system automatically detects aberrations using a learned model and corrects them by moving the correction lens unit without requiring user intervention. The controller autonomously determines when correction is needed and executes the correction based on aberration indices calculated from picked-up images, making the system self-service oriented.
Solution Approach 2:
The correction lens unit is made movable rather than fixed, allowing it to dynamically adjust its position based on detected aberrations. The driving device enables real-time movement of the correction lens unit to correct aberrations as they occur, transforming a static optical system into a dynamic one that can adapt to changing conditions.
2Manufacturing precision
If aberration correction is performed continuously, then image quality is maintained, but processing time increases
Solution Approach 1:
The system uses a feedback mechanism where picked-up images are processed through a learned model to calculate aberration indices. These indices are fed back to the controller, which determines whether correction is needed and by how much. This closed-loop feedback allows the system to maintain image quality while avoiding unnecessary processing time by only correcting when and where needed.
Solution Approach 2:
Instead of continuously correcting aberrations, the system applies partial correction based on the calculated aberration indices. The controller determines the appropriate correction amount based on the severity of the aberration detected in each image, applying correction only when necessary and to the extent needed, rather than using excessive continuous correction.
Data Source
AI summary
An apparatus including: a system including a correction lens unit configured to move to correct an aberration; a driving device configured to move the correction lens unit; an image pickup element configured to pick up an image formed by the system; an obtaining device configured to obtain an aberration based on a picked up image, through use of a learned model obtained by learning an image and aberration data of the system; and a controller configured to control the driving device based on the aberration, to thereby correct the aberration.