During March 2025, Scorpion1234567 enhanced the warpPolar function in the opencv/opencv repository by introducing multithreading to accelerate performance for the WARP_INVERSE_MAP path. Using C++ and leveraging cv::parallel_for_, they refactored the core loop to enable row-level parallel execution while preserving the original coordinate transformation logic. This optimization improved throughput for high-resolution image processing and real-time computer vision scenarios without altering existing interfaces or results. The work demonstrated depth in performance optimization and multithreading, resulting in cleaner, more maintainable code. No customer-facing features or bug fixes were released, with efforts focused on this targeted technical improvement.