Orthogonal Optimization of Random Speckle Patterns for Computational Ghost Imaging

• 1、Institute of Signal Processing and Transmission, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
• 2、College of Information Engineering, Fuyang Normal University, Fuyang 236037, China

Abstract：Ghost imaging, as a non-definition domain imaging method, is one of the frontier and hot spots in the field of quantum optics in recent years. In order to overcome the influence of statistical noise on the quality of ghost imaging under the random speckle patterns irradiation, an orthogonal method of random speckle patterns for computational ghost imagingis proposed. Firstly, the factors affecting the reconstruction quality of ghost imagingare analyzed, and then the original random speckle is orthogonalized through the spatial mapping matrix, and finally the ghost imaging of unknown objects is calculated. This method not only improves the quality of ghost imaging, but also has a simple algorithm structure. Simulation and experimental results show that the method can effectively reconstruct the image from the original experimental data and show good performance compared with the traditional random speckle computational ghost imaging.

Keywords： imaging system computational ghost imaging random speckle pattern orthogonalization