The Influence of Detector Defocus in Multi-pixels Sensor Based Computational Ghost Imaging

Single-pixle detector based computational ghost imaging (CGI) reconstructs an image by measuring the correlations between the scene and a series of masks. Recently, multi-pixels detector and parallel encoding is used to reduce modulation times and improve imaging speed. Due to the separate characteristics of encoding and detection in CGI system, detector defocus will not lead to image blurring in this single-pixel detector based CGI. However, detector defocus in multi-pixels detector based CGI is different to single-pixle detector based system. In this paper, based on the principle of CGI and the model of detector defocus, the influence of detector defocus in CGI is theoretically analyzed. Simulation and experiment results indicate that the multi-pixels detector based CGI inherits characteristics of antidefocus. The quality of reconstructed image is mainly affected by the degree of defocus and the array size of the detector.