Lens Position Data Fitting for Image Distortion Correction
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Solution Overview
Problem
Current image processing software requires manual adjustment by users to correct distortion in images, which is time-consuming and often results in suboptimal correction, especially for complex moustache distortion patterns, due to the need for precise lens position data and error range considerations.
Innovation Solution
A method involving a preparation, correcting, selection, and repeating operation to estimate and correct distortion patterns in images using actual measured lens position information, with preview displays and adjustable data fitting within error ranges to select the appropriate correction pattern.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual adjustment of distortion correcting pattern is performed by user, then correction can be performed, but it requires significant user time and labor especially for complex moustache distortion patterns
Solution Approach 1:
The system automatically performs distortion correction by itself without requiring user intervention. The correction unit acquires lens position information, estimates distortion patterns, and applies correction automatically, making the system serve itself rather than requiring manual user operation.
Solution Approach 2:
The system changes parameters automatically by acquiring actual measured lens position information and using it to estimate distortion patterns. The correction amount and pattern are adjusted based on measured parameters like focal position and focal distance, eliminating the need for manual parameter adjustment by users.
2Reliability
If manual adjustment of distortion correcting pattern is performed by user, then correction can be performed, but it requires user expertise to achieve optimal results
Solution Approach 1:
The system performs distortion correction automatically using its own capabilities. The correction unit processes lens position information and applies appropriate correction without requiring the user to have expertise in distortion patterns or adjustment techniques.
Solution Approach 2:
The manual mechanical adjustment process is replaced with an automated electronic system. The correction unit uses electronic processing of lens position data and automatic pattern recognition to substitute for manual user adjustment, eliminating the need for user expertise.
3Measurement precision
If distortion correction uses actual measured lens position information with error range consideration, then correction accuracy is improved, but the processing complexity increases
Solution Approach 1:
The system performs preliminary acquisition of lens position information and error range data before actual distortion correction. By preparing these parameters in advance and storing them for later use, the system simplifies the main correction process while maintaining high precision.
Solution Approach 2:
The correction unit acts as an intermediary that processes raw lens position information and error ranges into usable distortion correction patterns. This intermediate processing step manages the complexity by breaking down the correction task into manageable stages.
Data Source
AI summary
In a preparation operation of a distortion correcting method, actual measured lens position information obtained by an optical system at a time of shooting an image, an error range in the lens position information, and a relational expression between a distortion pattern and the lens position information, are respectively obtained. In a correcting operation, actual measured data of the lens position information is fit to the relational expression to estimate the distortion pattern of the image shot by the optical system, and a temporary corrected image is obtained. In a selection operation, a distortion correcting pattern to be applied in main correcting performed on the image is selected based on the temporary corrected image. In a repeating operation, when the distortion correcting pattern is not selected, a value of the actual measured data is adjusted within the error range and the correcting operation is repeated.