Phase Retrieval with Roughly Known Mask

Uniqueness, up to a global phase, is proved for phasing with a random roughly known mask (RKM) of high uncertainty. Phasing algorithms alternating between the object update and the mask update are systematically tested and demonstrated to have the capability of nearly perfect recovering the object and the mask (within the object support) simultaneously for up to 50% mask uncertainty. The uncertainty threshold for successful recovery can be further lifted to more than 70% under the additional sector condition on the object. The phasing algorithms with RKM are robust to low resolution masking as well as other types of noise. © 2012 Optical Society of America

[1]  S. Marchesini,et al.  Invited article: a [corrected] unified evaluation of iterative projection algorithms for phase retrieval. , 2006, The Review of scientific instruments.

[2]  J. Miao,et al.  The oversampling phasing method. , 2000, Acta crystallographica. Section D, Biological crystallography.

[3]  J R Fienup,et al.  Phase retrieval algorithms: a comparison. , 1982, Applied optics.

[4]  A. Fannjiang,et al.  Phase retrieval with random phase illumination. , 2012, Journal of the Optical Society of America. A, Optics, image science, and vision.

[5]  Albert Fannjiang,et al.  Absolute uniqueness of phase retrieval with random illumination , 2011, ArXiv.

[6]  O. Bunk,et al.  High-Resolution Scanning X-ray Diffraction Microscopy , 2008, Science.

[7]  O. Bunk,et al.  Ptychographic X-ray computed tomography at the nanoscale , 2010, Nature.

[8]  øöö Blockinø Phase retrieval, error reduction algorithm, and Fienup variants: A view from convex optimization , 2002 .

[9]  J. Miao,et al.  Extending the methodology of X-ray crystallography to allow imaging of micrometre-sized non-crystalline specimens , 1999, Nature.

[10]  R. Gerchberg A practical algorithm for the determination of phase from image and diffraction plane pictures , 1972 .

[11]  Fucai Zhang,et al.  Superresolution imaging via ptychography. , 2011, Journal of the Optical Society of America. A, Optics, image science, and vision.

[12]  P. Lions,et al.  Splitting Algorithms for the Sum of Two Nonlinear Operators , 1979 .

[13]  M. Hayes,et al.  Reducible polynomials in more than one variable , 1982, Proceedings of the IEEE.

[14]  M. Hayes The reconstruction of a multidimensional sequence from the phase or magnitude of its Fourier transform , 1982 .

[15]  S Marchesini,et al.  Invited article: a [corrected] unified evaluation of iterative projection algorithms for phase retrieval. , 2006, The Review of scientific instruments.