Phase retrieval combined with digital holography

We present a new method for real- and complex-valued image reconstruction from two intensity measurements made in the Fourier plane: the Fourier magnitude of the unknown image, and the intensity of the interference pattern arising from superimposition of the original signal with a reference beam. This approach can provide significant advantages in digital holography since it poses less stringent requirements on the reference beam. In particular, it does not require spatial separation between the sought signal and the reference beam. Moreover, the reference beam need not be known precisely, and in fact, may contain severe errors, without leading to a deterioration in the reconstruction quality. Numerical simulations are presented to demonstrate the speed and quality of reconstruction.

[1]  James R. Fienup,et al.  Reconstruction of a complex-valued object from the modulus of its Fourier transform using a support constraint , 1987 .

[2]  Irad Yavneh,et al.  Fast Reconstruction Method for Diffraction Imaging , 2009, ISVC.

[3]  D. Sayre,et al.  Electronic Reprint Foundations of Crystallography Reconstruction of a Yeast Cell from X-ray Diffraction Data Foundations of Crystallography Reconstruction of a Yeast Cell from X-ray Diffraction Data , 2022 .

[4]  J. Miao,et al.  Quantitative imaging of single, unstained viruses with coherent x rays. , 2008, Physical review letters.

[5]  I. Yavneh,et al.  Signal Reconstruction From The Modulus of its Fourier Transform , 2009 .

[6]  J. Zuo,et al.  Atomic Resolution Imaging of a Carbon Nanotube from Diffraction Intensities , 2003, Science.

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

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

[9]  James R. Fienup,et al.  Phase-retrieval stagnation problems and solutions , 1986 .

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

[11]  M. Nieto-Vesperinas A Study of the Performance of Nonlinear Least-square Optimization Methods in the Problem of Phase Retrieval , 1986 .

[12]  J. Goodman Introduction to Fourier optics , 1969 .

[13]  Andrew E. Yagle,et al.  Use of Fourier domain real-plane zeros to overcome a phase retrieval stagnation , 1991 .

[14]  Irad Yavneh,et al.  Approximate Fourier phase information in the phase retrieval problem: what it gives and how to use it. , 2011, Journal of the Optical Society of America. A, Optics, image science, and vision.