Infrared Image Non-Uniformity Correction - Two-Point Method

Infrared image non-uniformity correction is a highly effective image processing technique. Implementing non-uniformity correction through the two-point method can significantly enhance the quality and clarity of infrared images. This method's correctness and practicality have been extensively validated. The two-point calibration algorithm typically involves capturing two reference images at different temperature points (usually low and high temperatures) to calculate gain and offset parameters for each pixel. Infrared image non-uniformity correction serves as a crucial step in addressing brightness non-uniformity issues in infrared imagery, effectively eliminating dark corners and bright spots to achieve more consistent brightness distribution across the entire image. Through this approach, which can be implemented using matrix operations for efficient pixel-wise correction, we can better observe and analyze details in infrared images and obtain more accurate results. The correction formula generally follows: Corrected_Pixel = (Raw_Pixel - Offset) × Gain, where gain and offset matrices are derived from calibration data.