Adaptive iterative guided filtering for suppressing background noise in ptychographical imaging

Abstract

Ptychography is a lens-free imaging method which can outstrip the resolution limitations of optical apparatuses, even so the algorithm automatically totes background noise during the imaging process. In order to rehabilitate a more exquisite image, an adaptive iterative guided filtering method is designed. The guided filter is incorporated into the computation process of ptychography. The self-adaptive functionality is achieved by controlling the constraint factors of iteration times. The high edge-preserving performance of guided filtering could rub out background noise without messing up resolution. Furthermore, compared with other spatial filtering algorithms, it is validated that the proposed algorithm has the best refactoring and the highest computing efficiency.