Paper
24 November 2009 Autofocus method for amplitude and pure phase objects reconstruction in digital holography
Huaying Wang, Aili Qin, Baoqun Zhao
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Abstract
Four autofocusing evaluation functions, variance, Fourier spectrum, Gradient Square and the modified standard deviation correlation, are analyzed and demonstrated based on Fresnel transform algorithm for amplitude and pure phase objects. The results show that for amplitude objects variance function, weighted Fourier spectral function and standard deviation correlation function, which get the maximum at the focus plane, are the optimal autofocusing evaluation ones in digital micro-holography. Moreover, Fourier spectral evaluation function is the preferred function. For pure phase objects the weighted Fourier spectral function, the gradient square function and the modified standard deviation correlation function, which get the minimum value at the focus plane, are available in digital holographic autofocusing. The focusing calculating time with the gradient square function is more longer than others.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Huaying Wang, Aili Qin, and Baoqun Zhao "Autofocus method for amplitude and pure phase objects reconstruction in digital holography", Proc. SPIE 7513, 2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology, 75131Z (24 November 2009); https://doi.org/10.1117/12.838006
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Cited by 1 scholarly publication.
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KEYWORDS
Digital holography

Correlation function

Holography

3D image reconstruction

Holograms

Reconstruction algorithms

Digital recording

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