Coherent Ghost Imaging based on sparsity constraint without phase-sensitive detection

A universal process for coherent Ghost Imaging (GI) without phase-sensitive detection is presented in this paper. The process is based on the sparsity constraint of the target, which helps to accelerate the information extraction. By taking advantage of this process, the coherent GI scheme with a point-like detector in the test path is improved to achieve higher efficiency and higher resolution, even though the phase information of the random field is lost. This process will contribute to the practical applications, such as Fourier-transform diffraction GI of X-ray, and remote sensing