基于追踪补偿的运动物体计算关联成像方法

Computational ghost imaging (CGI) captures images using the correlation between the reflected signals of an object and a set of patterns. It has the advantages of high sensitivity and strong anti-interference ability. Because of the loss of relevance, the motion blur will exist in the results while imaging a moving object in a short time. Thus, a method applying tracking compensation in computational ghost imaging (TC-CGI) is proposed to eliminate the motion blur. The tracking compensation principle for moving and rotating object is deduced by second-order correlation function in detail. The tracking compensation strategy in CGI is realized by restoring the correlation between the reference light and the intensity values. The results of simulations show that the method can effectively eliminate the motion blur and obtain high quality images. The method has broad application in object identification,tracking,remote sensing and real-time online imaging.