Sweep Nonlinearity Correction of Streak Camera Based on Image Processing
基于图像处理的条纹相机扫描非线性修正

In order to make the streak image closer to the actual object and improve the measuring precision, a correction algorithm based on image processing was presented. The speed curve based on the nominal sweep speed was simulated. Meanwhile, the sweep speed of each channel were corrected and the mean speed as a criterion were got. The position and intensity of each pixel were corrected by comparing the sweep speed of each channel with the mean speed. The result indicates that the algorithm can reduce the nonlinearity to less than 2% from the original 8%.