Enhanced reconstruction of axially extended objects using phase retrieval with unordered propagations and compressive sensing

Abstract

This study will incorporate unordered wave propagations and compressive sensing framework on phase retrieval to reconstruct the complete wavefront information (amplitude and phase) of axially-extended objects, which is difficult to perform using conventional phase retrieval techniques. Qualitative results from the simulation show that the proposed method yields reconstructions with minimized errors and defocus noises attributed to the other sections of the object. The simulation is also successful in reconstructing the wavefront information of a partially occluded object.