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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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Journal ArticleDOI

Progressive compressive sensing of large images with multiscale deep learning reconstruction

TL;DR: In this paper , a multiscale progressive compressive sensing (CS) method was proposed for high-resolution image acquisition, where the multi-scale property of the progressively sensed samples is capitalized for a fast, deep learning (DL) reconstruction.
Proceedings ArticleDOI

3D imaging and visualization: An overview of recent advances

TL;DR: In this article, an overview of physical principles, applications, and advances in integral imaging and digital holography is presented, including various approaches for image capture, image reconstruction, and 3D display methods.

Evaluation of Digital Holographic Reconstruction Techniques for Use in One-shot Multi-angle Holographic Tomography

TL;DR: This chapter discusses the use of icons and symbols in everyday life and some of the strategies used to conceptualise and explain their use.
Proceedings ArticleDOI

Hierarchical synthesis Network: a frequency extraction technique for structured illumination-based phase retrieval

TL;DR: This work presents a hierarchical synthesis network (HSNet) which uses multiple splitting networks to extract structural features of structured intensity images in various modulation frequency and synthesis network to produce high fidelity reconstruction and shows that the proposed framework retrieve clear and accurate phase profile with reduced computing requirements in simulation.
Dissertation

Simultaneous Multispectral Imaging: Using Multiview Computational Compressive Sensing

TL;DR: The work presented here will describe an optical design that would enable a single camera, simultaneous multispectral imaging via multiview computational compressive sensing and the spectral sensing capability of the device is examined.
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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