The distortion correction technology of the USB camera module is a key link to improve image quality, mainly achieved through calibration and algorithm processing. The following are the specific technical points:
Camera calibration: In distortion correction, the camera needs to be calibrated first to obtain the internal parameters of the camera (such as focal length, principal point coordinates) and distortion coefficients (such as radial distortion coefficient, tangential distortion coefficient). This is usually obtained by taking images of a specific calibration board (such as a checkerboard) and calculating it using relevant algorithms (such as the Zhang Zhengyou calibration method).
Distortion correction algorithm: By using the internal parameters and distortion coefficients obtained through calibration, the collected images are corrected through the distortion correction algorithm. Common distortion correction algorithms include correction algorithms based on polynomial models, correction algorithms based on division models, vesaire. These algorithms can perform coordinate transformation on each pixel point in the image based on the distortion coefficient, thereby eliminating distortion.
Real-time correction and optimization: For scenarios that require real-time display or processing, the distortion correction algorithm needs to have a high level of real-time performance. Ek olarak, the correction efficiency and accuracy can be further improved through technical means such as optimizing algorithm parameters and adopting parallel computing.
Software and tool support: Many image processing software and development libraries (such as OpenCV) offer functions for camera calibration and distortion correction. These tools usually contain rich algorithms and interfaces, facilitating developers’ integration and application.