Barrel Distortion Correction in Video Streams

The patent pre-calculates and stores correction parameters for multiple zoom settings before video processing begins. When zoom settings change during video capture, the system retrieves pre-computed correction data corresponding to the current zoom level, avoiding real-time calculation overhead and enabling rapid distortion correction.

The system adjusts correction parameters dynamically based on zoom setting changes. By maintaining a mapping between zoom levels and their corresponding distortion correction parameters, the system can switch between different correction profiles efficiently, balancing geometric accuracy with processing speed.

The patent applies distortion correction selectively to regions of the image where geometric accuracy is most critical, rather than uniformly across the entire image. This partial correction approach maintains geometric fidelity in important areas while preserving more image information overall by avoiding excessive cropping.

The system dynamically adjusts correction intensity parameters based on scene content and zoom settings. By modulating the strength of distortion correction, the system optimizes the balance between geometric accuracy and information preservation, reducing unnecessary cropping while maintaining accuracy where needed.

The system performs distortion correction parameter calculations in advance and stores them in lookup tables. During real-time video processing, the camera simply retrieves pre-computed parameters based on current zoom settings, significantly reducing the computational burden on the processing device while maintaining real-time correction capability.

The patent replaces complex real-time computational mechanics with a simpler retrieval-based system. Instead of performing heavy mathematical transformations on each frame, the system substitutes computation with table lookups and parameter adjustments, reducing device complexity while preserving real-time correction functionality.