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Journal ArticleDOI

Compressive Fresnel Holography

TLDR
This work demonstrates successful application of compressive sensing framework to digital Fresnel holography and it is shown that when applying compressed sensing approach to Fresnel fields a special sampling scheme should be adopted for improved results.
Abstract
Compressive sensing is a relatively new measurement paradigm which seeks to capture the “essential” aspects of a high-dimensional object using as few measurements as possible. In this work we demonstrate successful application of compressive sensing framework to digital Fresnel holography. It is shown that when applying compressive sensing approach to Fresnel fields a special sampling scheme should be adopted for improved results.

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Citations
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Proceedings ArticleDOI

Compressive sensing techniques in holography

TL;DR: Applying compressive sensing theory for holography comes natural since holographic imaging is inherently a compressive process that encodes 3D data in 2D images.
Journal ArticleDOI

Multi-aperture optics as a universal platform for computational imaging

TL;DR: In this paper, the fundamental properties of multi-aperture optics are summarized, then some examples of interesting functions implemented by multi-APertures are explained, together with some effective applications.
Proceedings ArticleDOI

Improved axial resolution of digital holography via compressive reconstruction

TL;DR: In this paper, the authors experimentally show that compressed sensing can improve the axial resolution of digital holography when the resolution is limited by the finite pixel pitch, which is the case in this paper.
Journal ArticleDOI

Improvement of the size estimation of 3D tracked droplets using digital in-line holography with joint estimation reconstruction

TL;DR: This work proposes to fully exploit the information redundancy of a hologram video sequence using joint estimation reconstruction, and shows that it led to a relative accuracy of 0.13 % (for a 30 µm diameter droplet) for droplet size estimation.
Journal ArticleDOI

Interference-based image encryption with silhouette removal by aid of compressive sensing

TL;DR: A simple interference-based image encryption method that has effectively suppressed the silhouette problem and has also some distinct advantages over the previous approaches is proposed.
References
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Journal ArticleDOI

An Introduction To Compressive Sampling

TL;DR: The theory of compressive sampling, also known as compressed sensing or CS, is surveyed, a novel sensing/sampling paradigm that goes against the common wisdom in data acquisition.
Journal ArticleDOI

Sparsity and incoherence in compressive sampling

TL;DR: It is shown that ‘1 minimization recovers x 0 exactly when the number of measurements exceeds m Const ·µ 2 (U) ·S · logn, where S is the numberof nonzero components in x 0, and µ is the largest entry in U properly normalized: µ(U) = p n · maxk,j |Uk,j|.
Journal ArticleDOI

Phase-shifting digital holography

TL;DR: A new method is proposed in which the distribution of complex amplitude at a plane is measured by phase-shifting interferometry and then Fresnel transformed by a digital computer, which can reconstruct an arbitrary cross section of a three-dimensional object with higher image quality and a wider viewing angle than from conventional digital holography using an off-axis configuration.
Journal ArticleDOI

Digital holography for quantitative phase-contrast imaging.

TL;DR: A new application of digital holography for phase-contrast imaging and optical metrology and an application to surface profilometry shows excellent agreement with contact-stylus probe measurements.
Journal ArticleDOI

Improved three-dimensional imaging with a digital holography microscope with a source of partial spatial coherence.

TL;DR: A digital holographic technique is implemented in a microscope for three-dimensional imaging reconstruction using a Mach-Zehnder interferometer that uses an incoherent light source to remove the coherent noise that is inherent in the laser sources.
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