Computational Optical Phase Imaging
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Computational Optical Phase Imaging
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Author : Cheng Liu
language : en
Publisher: Springer Nature
Release Date : 2022-04-11
Computational Optical Phase Imaging written by Cheng Liu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-11 with Science categories.
In this book, computational optical phase imaging techniques are presented along with Matlab codes that allow the reader to run their own simulations and gain a thorough understanding of the current state-of-the-art. The book focuses on modern applications of computational optical phase imaging in engineering measurements and biomedical imaging. Additionally, it discusses the future of computational optical phase imaging, especially in terms of system miniaturization and deep learning-based phase retrieval.
Computational Optical Imaging
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Author : Zhengjun Liu
language : en
Publisher: Springer Nature
Release Date :
Computational Optical Imaging written by Zhengjun Liu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Fourier Optics And Computational Imaging
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Author : Kedar Khare
language : en
Publisher: Springer Nature
Release Date : 2023-01-02
Fourier Optics And Computational Imaging written by Kedar Khare and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-02 with Technology & Engineering categories.
The book is designed to serve as a textbook for advanced undergraduate and graduate students enrolled in physics and electronics and communication engineering and mathematics. The book provides an introduction to Fourier optics in light of new developments in the area of computational imaging over the last couple of decades. There is an in-depth discussion of mathematical methods such as Fourier analysis, linear systems theory, random processes, and optimization-based image reconstruction techniques. These techniques are very much essential for a better understanding of the working of computational imaging systems. It discusses topics in Fourier optics, e.g., diffraction phenomena, coherent and incoherent imaging systems, and some aspects of coherence theory. These concepts are then used to describe several system ideas that combine optical hardware design and image reconstruction algorithms, such as digital holography, iterative phase retrieval, super-resolution imaging, point spread function engineering for enhanced depth-of-focus, projection-based imaging, single-pixel or ghost imaging, etc. The topics covered in this book can provide an elementary introduction to the exciting area of computational imaging for students who may wish to work with imaging systems in their future careers.
Scalable Computational Optical Imaging System Designs
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Author : Ronan Kerviche
language : en
Publisher:
Release Date : 2017
Scalable Computational Optical Imaging System Designs written by Ronan Kerviche and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
Computational imaging and sensing leverages the joint-design of optics, detectors and processing to overcome the performance bottlenecks inherent to the traditional imaging paradigm. This novel imaging and sensing design paradigm essentially allows new trade-offs between the optics, detector and processing components of an imaging system and enables broader operational regimes beyond the reach of conventional imaging architectures, which are constrained by well-known Rayleigh, Strehl and Nyquist rules amongst others. In this dissertation, we focus on scalability aspects of these novel computational imaging architectures, their design and implementation, which have far-reaching impacts on the potential and feasibility of realizing task-specific performance gains relative to traditional imager designs. For the extended depth of field (EDoF) computational imager design, which employs a customized phase mask to achieve defocus immunity, we propose a joint-optimization framework to simultaneously optimize the parameters of the optical phase mask and the processing algorithm, with the system design goal of minimizing the noise and artifacts in the final processed image. Using an experimental prototype, we demonstrate that our optimized system design achieves higher fidelity output compared to other static designs from the literature, such as the Cubic and Trefoil phase masks. While traditional imagers rely on an isomorphic mapping between the scene and the optical measurements to form images, they do not exploit the inherent compressibility of natural images and thus are subject to Nyquist sampling. Compressive sensing exploits the inherent redundancy of natural images, basis of image compression algorithms like JPEG/JPEG2000, to make linear projection measurements with far fewer samples than Nyquist for the image forming task. Here, we present a block wise compressive imaging architecture which is scalable to high space-bandwidth products (i.e. large FOV and high resolution applications) and employs a parallelizable and non-iterative piecewise linear reconstruction algorithm capable of operating in real-time. Our compressive imager based on this scalable architecture design is not limited to the imaging task and can also be used for automatic target recognition (ATR) without an intermediate image reconstruction. To maximize the detection and classification performance of this compressive ATR sensor, we have developed a scalable statistical model of natural scenes, which enables the optimization of the compressive sensor projections with the Cauchy-Schwarz mutual information metric. We demonstrate the superior performance of this compressive ATR system using simulation and experiment. Finally, we investigate the fundamental resolution limit of imaging via the canonical incoherent quasi-monochromatic two point-sources separation problem. We extend recent results in the literature demonstrating, with Fisher information and estimator mean square error analysis, that a passive optical mode-sorting architecture with only two measurements can outperform traditional intensity-based imagers employing an ideal focal plane array in the sub-Rayleigh range, thus overcoming the Rayleigh resolution limit.
Optical Imaging And Spectroscopy
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Author : David J. Brady
language : en
Publisher: John Wiley & Sons
Release Date : 2009-04-27
Optical Imaging And Spectroscopy written by David J. Brady and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-27 with Science categories.
An essential reference for optical sensor system design This is the first text to present an integrated view of the optical and mathematical analysis tools necessary to understand computational optical system design. It presents the foundations of computational optical sensor design with a focus entirely on digital imaging and spectroscopy. It systematically covers: Coded aperture and tomographic imaging Sampling and transformations in optical systems, including wavelets and generalized sampling techniques essential to digital system analysis Geometric, wave, and statistical models of optical fields The basic function of modern optical detectors and focal plane arrays Practical strategies for coherence measurement in imaging system design The sampling theory of digital imaging and spectroscopy for both conventional and emerging compressive and generalized measurement strategies Measurement code design Linear and nonlinear signal estimation The book concludes with a review of numerous design strategies in spectroscopy and imaging and clearly outlines the benefits and limits of each approach, including coded aperture and imaging spectroscopy, resonant and filter-based systems, and integrated design strategies to improve image resolution, depth of field, and field of view. Optical Imaging and Spectroscopy is an indispensable textbook for advanced undergraduate and graduate courses in optical sensor design. In addition to its direct applicability to optical system design, unique perspectives on computational sensor design presented in the text will be of interest for sensor designers in radio and millimeter wave, X-ray, and acoustic systems.
Computational Phase Imaging Based On Intensity Transport
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Author : Laura Ann Waller
language : en
Publisher:
Release Date : 2010
Computational Phase Imaging Based On Intensity Transport written by Laura Ann Waller and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
Light is a wave, having both an amplitude and a phase. However, optical frequencies are too high to allow direct detection of phase; thus, our eyes and cameras see only real values - intensity. Phase carries important information about a wavefront and is often used for visualization of biological samples, density distributions and surface profiles. This thesis develops new methods for imaging phase and amplitude from multi-dimensional intensity measurements. Tomographic phase imaging of diffusion distributions is described for the application of water content measurement in an operating fuel cell. Only two projection angles are used to detect and localize large changes in membrane humidity. Next, several extensions of the Transport of Intensity technique are presented. Higher order axial derivatives are suggested as a method for correcting nonlinearity, thus improving range and accuracy. To deal with noisy images, complex Kalman filtering theory is proposed as a versatile tool for complex-field estimation. These two methods use many defocused images to recover phase and amplitude. The next technique presented is a single-shot quantitative phase imaging method which uses chromatic aberration as the contrast mechanism. Finally, a novel single-shot complex-field technique is presented in the context of a Volume Holographic Microscopy (VHM). All of these techniques are in the realm of computational imaging, whereby the imaging system and post-processing are designed in parallel.
Computational Optical Biomedical Spectroscopy And Imaging
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Author : Sarhan M. Musa
language : en
Publisher: CRC Press
Release Date : 2015-01-28
Computational Optical Biomedical Spectroscopy And Imaging written by Sarhan M. Musa and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-28 with Science categories.
Computational Optical Biomedical Spectroscopy and Imaging covers recent discoveries and research in the field by some of the best inventors and researchers in the world. It also presents useful computational methods and applications used in optical biomedical spectroscopy and imaging. Topics covered include:New trends in immunohistochemical, genome
Computational Methods And Applications In Optical Imaging And Spectroscopy
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Author : Nikhil Mehta
language : en
Publisher:
Release Date : 2016
Computational Methods And Applications In Optical Imaging And Spectroscopy written by Nikhil Mehta and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
This dissertation presents my work in application of computational techniques and the resulting enhancements to several non-linear and ultrafast optical imaging and spectroscopy modalities. The importance of novel computational optical imaging schemes which aim to overcome the limitations of conventional imaging techniques by leveraging the availability of computational resources and the vast body of literature in computational signal processing is emphasized. In particular the computational techniques of compressive sensing and two dimensional phase retrieval are introduced in the broad context as inversion techniques suitable for optical applications including coherent anti-Stokes Raman holography, non-linear spectroscopy, and ultrashort pulse characterization. It is shown that both computational techniques seek to improve key signal metrics such as higher signal to noise ratio (SNR) and better resolution than can be obtained traditionally within the specific imaging modality.Coherent anti-Stokes Raman scattering (CARS) holography is a novel imaging modality which combines the principles of coherent anti-Stokes Raman scattering and holography to provide label-free, chemical selective, scanning-free, and single shot 3D imaging modality. Compressive CARS holography is introduced as a sparsity constrained holographic image reconstruction technique to enhance the optical sectioning capability of CARS holography by suppressing out-of-focus background noise inherent in 3D images processed from a typical single 2D hologram. The advantages of compressive sensing guided signal acquisition strategy in optical spectroscopy is presented by proposing compressive multi-heterodyne optical spectroscopy as a novel technique for ultra-high resolution frequency comb spectroscopy. Using numerical simulations, our proposed compressive frequency comb spectroscopy technique is shown to be well-suited for recording narrow line spectra at ultra-high sampling over broad spectral range by leveraging sparsity inherent in such spectra.We next present applications of phase retrieval in optical imaging and spectroscopy. In particular we use 2D phase retrieval technique to enhance the resolution of sum frequency generation vibrational spectroscopy (SFG-VS) whose unique surface selectivity enables qualitative and quantitative study of chemical species at surfaces/interfaces. Specifically, our key contribution is that we show that our 2D phase retrieval based inversion algorithm enables measurement of characteristic molecular vibrational spectra of air/dimethyl sulfoxide interface at resolutions significantly better than that achievable in conventional SFG-VS acquisition system. Lastly, we address the limitation of the commonly used pulse characterization technique: frequency resolved optical gating (FROG) to spatio-temporally characterize the ultrafast pulse. Using a simple spectral holographic recording technique, we present a modified 2D phase retrieval based algorithm to measure the spectral phase at every spatial location in the vicinity of focus of an objective and thereby track the spatio-temporal evolution of the pulse along its optical axis.
Computational Lithography
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Author : Xu Ma
language : en
Publisher: John Wiley & Sons
Release Date : 2011-01-06
Computational Lithography written by Xu Ma and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-06 with Technology & Engineering categories.
A Unified Summary of the Models and Optimization Methods Used in Computational Lithography Optical lithography is one of the most challenging areas of current integrated circuit manufacturing technology. The semiconductor industry is relying more on resolution enhancement techniques (RETs), since their implementation does not require significant changes in fabrication infrastructure. Computational Lithography is the first book to address the computational optimization of RETs in optical lithography, providing an in-depth discussion of optimal optical proximity correction (OPC), phase shifting mask (PSM), and off-axis illumination (OAI) RET tools that use model-based mathematical optimization approaches. The book starts with an introduction to optical lithography systems, electric magnetic field principles, and the fundamentals of optimization from a mathematical point of view. It goes on to describe in detail different types of optimization algorithms to implement RETs. Most of the algorithms developed are based on the application of the OPC, PSM, and OAI approaches and their combinations. Algorithms for coherent illumination as well as partially coherent illumination systems are described, and numerous simulations are offered to illustrate the effectiveness of the algorithms. In addition, mathematical derivations of all optimization frameworks are presented. The accompanying MATLAB® software files for all the RET methods described in the book make it easy for readers to run and investigate the codes in order to understand and apply the optimization algorithms, as well as to design a set of optimal lithography masks. The codes may also be used by readers for their research and development activities in their academic or industrial organizations. An accompanying MATLAB® software guide is also included. An accompanying MATLAB® software guide is included, and readers can download the software to use with the guide at ftp://ftp.wiley.com/public/sci_tech_med/computational_lithography. Tailored for both entry-level and experienced readers, Computational Lithography is meant for faculty, graduate students, and researchers, as well as scientists and engineers in industrial organizations whose research or career field is semiconductor IC fabrication, optical lithography, and RETs. Computational lithography draws from the rich theory of inverse problems, optics, optimization, and computational imaging; as such, the book is also directed to researchers and practitioners in these fields.
Computational Optical Sensing And Imaging
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Author :
language : en
Publisher:
Release Date : 2013
Computational Optical Sensing And Imaging written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.