Abstract
The resolution of reconstructed images is significantly limited by the size of captured holograms in digital holography. A multiplane digital holographic algorithm based on extrapolation iterations is proposed herein. Holograms at different axial distances are captured with a shifting imaging sensor and then extrapolated to a larger hologram after padding. Multiple holograms provide multipoint constraints in diffraction calculation. Constraints based on the energy distribution and transmissions of an object are applied to extract the object function from the holograms. The method achieves a higher convergence speed for solving the inverse problem compared with the single-plane extrapolation method. We demonstrate that the reconstruction in multiple planes yields a better resolution than that in one plane.
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