Under-sampling hologram compression holographic multi-scale self-focusing reconstruction method and system

Abstract

The invention discloses an under-sampling hologram compression holography multi-scale self-focusing reconstruction method and system, and belongs to the technical field of digital holography. The method comprises the steps of carrying out down-sampling operation on holograms generated by an object at different positions in an optical structure through the irradiation of a light source, and obtaining the down-sampling holograms at different positions; based on a CS algorithm, reconstructing the down-sampling holograms at the different positions to obtain amplitude images at the different positions; estimating a focal plane position according to the amplitude images at different positions by adopting an evaluation method of a characteristic value self-focusing algorithm; and based on a TwIST algorithm, reconstructing the down-sampling hologram at the position of the focal plane. According to the invention, an EIG-AF-CS self-focusing algorithm is provided for realizing self-focusing under an under-sampling condition, and is combined with twin-free image compression reconstruction, so that the reconstruction quality is ensured, and the problems of twin image interference and lack of self-focusing capability in traditional compression holographic reconstruction are effectively overcome.

Description

technical field [0001] The present invention relates to the technical field of digital holography, in particular to a multi-scale self-focusing reconstruction method and system for under-sampling hologram compression holography. Background technique [0002] Digital holography (Digital Holography, DH) is a holographic technology that records an intensity image through a CCD, and then reconstructs the information of the original object through computer numerical calculation. Its shortcoming is that it requires high storage capacity and bandwidth, which limits the wide application of digital holography. In 2006, Candès, Donoho, Tao and others proposed the theory of Compressed Sensing (CS), which pointed out that if the signal is sparse or compressible, only limited measurements of the sparse signal are needed to accurately reconstruct the original signal , which greatly saves resources and time, and breaks through the limitation that the sampling rate stipulated by the tradit...

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Problems solved by technology

Its disadvantage is that it requires high storage capacity and bandwidth, which limits the wide application of digital holography.

[0005] Although the method proposed by Zhang et al. can achieve twin-free image reconstruction, it is only aimed at 2D-2D full-sampled imaging models, lacks a compressed sampling process, and the position of the focal plane must be known during reconstruction, and has no self-focusing ability.

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