High resolution near on-axis digital holography using constrained optimization approach with faster convergence

Vimal Prabhu Pandiyan; Kedar Khare; Renu John

doi:10.1117/1.OE.56.9.093103

23 September 2017 High resolution near on-axis digital holography using constrained optimization approach with faster convergence

Vimal Prabhu Pandiyan, Kedar Khare, Renu John

Author Affiliations +

Optical Engineering, Vol. 56, Issue 9, 093103 (September 2017). https://doi.org/10.1117/1.OE.56.9.093103

Abstract

A constrained optimization approach with faster convergence is proposed to recover the complex object field from a near on-axis digital holography (DH). We subtract the DC from the hologram after recording the object beam and reference beam intensities separately. The DC-subtracted hologram is used to recover the complex object information using a constrained optimization approach with faster convergence. The recovered complex object field is back propagated to the image plane using the Fresnel back-propagation method. The results reported in this approach provide high-resolution images compared with the conventional Fourier filtering approach and is 25% faster than the previously reported constrained optimization approach due to the subtraction of two DC terms in the cost function. We report this approach in DH and digital holographic microscopy using the U.S. Air Force resolution target as the object to retrieve the high-resolution image without DC and twin image interference. We also demonstrate the high potential of this technique in transparent microelectrode patterned on indium tin oxide-coated glass, by reconstructing a high-resolution quantitative phase microscope image. We also demonstrate this technique by imaging yeast cells.

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Vimal Prabhu Pandiyan, Kedar Khare, and Renu John "High resolution near on-axis digital holography using constrained optimization approach with faster convergence," Optical Engineering 56(9), 093103 (23 September 2017). https://doi.org/10.1117/1.OE.56.9.093103

Received: 25 April 2017; Accepted: 6 September 2017; Published: 23 September 2017

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KEYWORDS

Holograms

3D image reconstruction

Digital holography

Image restoration

Image filtering

Image resolution

Holography

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