Coaxial holographic reconstruction method and system

Abstract

The invention discloses a coaxial holographic reconstruction method and system. The optimized reconstruction method and system for coaxial holography provided by the invention combine the traditionalobject surface constraint and the L1 sparse constraint in a same optimization model, and realize the optimal reconstruction of complex amplitude of an object surface by an alternate minimization method, which can effectively remove conjugate images, improve the reconstruction quality and convergence speed, achieve the purpose of effectively and quickly obtaining coaxial holographic complex amplitude reconstructed images without conjugate image interference, and greatly improve the image quality. At the same time, the invention clearly gives an expression of hyperparameters, which can improve the reconstruction efficiency. In addition, the invention separates the background of the object surface light field from the object, and is no longer limited by the conventional forward absorption constraint requiring the background of the object surface to be 1 to broaden the scope of application.

Description

technical field [0001] The invention relates to the field of holographic imaging, in particular to a coaxial holographic reconstruction method and system. Background technique [0002] Coaxial holography has the advantages of compact structure, no lens, and simultaneous acquisition of object amplitude and phase. However, due to the loss of phase information when the hologram is collected, the reconstructed image of the coaxial hologram is interfered by the conjugate image, which greatly affects the imaging quality. Therefore, the coaxial holographic reconstruction problem can be regarded as a phase recovery problem. The classical phase restoration method is based on the limited support domain of the object plane, that is, it needs to obtain the prior knowledge of the contour of the imaging target, and realizes reconstruction by iterating back and forth between the object plane and the recording plane. and less efficient. The use of forward absorption constraints does not ...

AI Technical Summary

Problems solved by technology

In recent years, compressed sensing has been gradually applied to coaxial holographic reconstruction, but the current sparse reconstruction method is mainly based on simplified models, limited to the real number domain, and cannot be combined with traditional constraints at the same time, the reconstruction quality and convergence speed need to be improved

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