Iterative Fourier Transform Phase Reconstruction: A Soft Approach

In this work, a priori information about the object is exploited in an iterative algorithm for Fourier transform phase reconstruction in a more complete way by using the object distribution function and not only by the support constraints. This, soft approach, compared with a classical (hard) approach, contributes both in the increased speed of the convergence as well as in the total gain obtained at the end of iterations. Total gain and convergence speed in the soft approach depend on a priori object and generally increase with amount of the a priori information included in the initial step that defines an initial phase information