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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

Multispectral compressive sensing using a silicon-based PEC cell

TL;DR: In this article, a single pixel imaging system based on compressive sensing was demonstrated using a silicon-based photoelectrochemical (PEC) cell for multispectral imaging.
Posted Content

Subsampled Phase Retrieval for On-chip Lensless Holographic Video

TL;DR: In this article, a subsampled phase retrieval (SPR) algorithm is proposed to overcome the spatial-temporal trade-off in holographic video, which uses over an order of magnitude less pixel measurements while maintaining suitable reconstruction quality.

Spatio-Temporal Reconstruction Techniques for Optical Microscopy

Nikhil Chacko
TL;DR: Chacko et al. as mentioned in this paper proposed a pyramid-based spatial registration algorithm that re-blurs the multi-view datasets with transformed forms of the PSF in order to make them comparable, before maximizing their pixel-based similarity for registration.
Proceedings ArticleDOI

Multidimensional optical compressive imaging

TL;DR: This paper overviews techniques developed for 3D and 4D compressive imaging and briefly discusses implementation issues and possible solutions.
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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