Moving Image Lens Aberration Correction for Accurate CG Synthesis
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Solution Overview
Problem
Existing systems fail to apply all applicable types of lens aberration correction to moving image files before CG synthesis, leading to incomplete removal of lens aberrations due to mismatched settings between camera metadata and editing system processing.
Innovation Solution
An information processing apparatus and method that applies lens aberration correction to moving image files by switching between using pre-set lens aberration correction settings and applying all applicable types of correction, based on user input or development processing type, ensuring complete aberration removal before CG synthesis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the editing system processes the moving image file without analyzing the metadata file, then the processing speed is improved, but the lens aberration correction settings are lost and incomplete correction is applied
Solution Approach 1:
The system performs preliminary analysis of the metadata file to identify applicable lens aberration correction types before the actual moving image processing begins. This allows the editing system to pre-configure the correction parameters so that during fast-forward playback or rendering, the corrections can be applied without real-time analysis delays
Solution Approach 2:
The system introduces an intermediary metadata analysis component that bridges the camera's metadata file and the editing system's processing pipeline. This intermediary layer extracts and translates lens aberration correction settings into a format that the editing system can efficiently apply during playback without requiring continuous metadata analysis
2Manufacturing precision
If all types of lens aberration correction are applied to the moving image file, then the manufacturing precision of the CG synthesis is improved, but the processing time increases
Solution Approach 1:
The system analyzes the metadata to determine which lens aberration correction types are actually applicable to the specific camera and lens combination used. Instead of applying all possible correction types, it selectively applies only those that are relevant (e.g., if distortion correction is not supported by the lens, it is skipped), thereby reducing processing time while maintaining CG synthesis precision
Solution Approach 2:
The system dynamically adjusts processing parameters based on the metadata analysis results. It identifies the specific lens model and camera type, then loads only the necessary correction profiles and algorithms, changing the processing parameters to match the actual hardware capabilities rather than using default maximum processing settings
3Measurement precision
If the metadata file is analyzed to identify applicable lens aberration correction types, then the correction accuracy is improved, but the device complexity increases
Solution Approach 1:
The system uses the metadata file generated by the camera itself to automatically identify the applicable lens aberration correction types. The camera's own metadata serves as the reference for determining what corrections should be applied, eliminating the need for external databases or manual configuration, thereby improving accuracy without proportionally increasing system complexity
Data Source
AI summary
An information processing apparatus that performs CG synthesis on an acquired moving image file. Lens aberration correction for removing lens aberrations is applied to the moving image file before performing the CG synthesis. Whether or not to use settings of lens aberration correction, which have been made before capturing the moving image is switched. In a case where the settings are used, non-applied types of lens aberration correction, which are identified based on the settings, are applied to the moving image file, whereas in a case where the settings are not used, all applicable types of lens aberration correction are applied to the moving image file.