计算关联成像是利用成像物体的反射或透射信号与结构化的参考光进行多次关联成像, 具有了灵敏度高、抗干扰能力强等优点。当物体和计算关联成像系统存在相对运动时, 在成像过程中物体的反射或透射信号与参考光的光场涨落失去关联性, 进而会产生运动模糊。从二阶关联函数的角度推导了运动成像导致模糊的原因以及追踪补偿原理; 恢复计算关联成像系统中参考光和桶探测器收集的光强值的关联性, 实现了计算关联成像中的追踪补偿策略; 计算机仿真解释了计算关联成像光路中对物体平移干扰进行补偿的策略, 证实了该追踪补偿方法对运动物体成像的有效性, 克服了物体与成像系统之间的相对运动引起的成像质量下降。方法为关联成像对运动物体的识别、跟踪、遥感和实时在线成像提供了技术手段。

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.