Two Dimensional Phase Unwrapping

Complete with case studies and examples as well as hundreds of images and figures illustrating the concepts, this book features: * A thorough introduction to the theory of phase unwrapping * Eight algorithms that constitute the state of the ...

Two Dimensional Phase Unwrapping

A resource like no other-the first comprehensive guide to phase unwrapping Phase unwrapping is a mathematical problem-solving technique increasingly used in synthetic aperture radar (SAR) interferometry, optical interferometry, adaptive optics, and medical imaging. In Two-Dimensional Phase Unwrapping, two internationally recognized experts sort through the multitude of ideas and algorithms cluttering current research, explain clearly how to solve phase unwrapping problems, and provide practicable algorithms that can be applied to problems encountered in diverse disciplines. Complete with case studies and examples as well as hundreds of images and figures illustrating the concepts, this book features: * A thorough introduction to the theory of phase unwrapping * Eight algorithms that constitute the state of the art in phase unwrapping * Detailed description and analysis of each algorithm and its performance in a number of phase unwrapping problems * C language software that provides a complete implementation of each algorithm * Comparative analysis of the algorithms and techniques for evaluating results * A discussion of future trends in phase unwrapping research * Foreword by former NASA scientist Dr. John C. Curlander Two-Dimensional Phase Unwrapping skillfully integrates concepts, algorithms, software, and examples into a powerful benchmark against which new ideas and algorithms for phase unwrapping can be tested. This unique introduction to a dynamic, rapidly evolving field is essential for professionals and graduate students in SAR interferometry, optical interferometry, adaptive optics, and magnetic resonance imaging (MRI).

Interferometry in Speckle Light

N.H. Ching , D. Rosenfeld , M. Braun : Two - dimensional phase unwrapping using a minimum spanning tree algorithm . IEEE Trans . Image Processing . 1 , 355-365 ( 1992 ) 4. M. Takeda , T. Abe : Phase unwrapping based on maximum cross ...

Interferometry in Speckle Light

The Proceedings contain state-of-the-art reviews and original materials related to up-to-date developments in a wide range of optical control methods. They are devoted in particular to shape, displacement and deformation measurement, strain analysis, mechanical behavior evaluation, inspection and non-destructive testing. Three principal classes of methods are under consideration: speckle photography, holographic interferometry and speckle interferometry. Both the state-of-the-art practices and the actual leading-edge techniques are discussed within a single volume, with reference to theoretical backgrounds common to all methods. Usually, similar information is distributed over many specialised works. The book presents both conceptual and practical aspects: theoretical considerations are fully analysed and applications illustrate the emphasis on many experimental aspects.

Three Dimensional Television

(2002) Robust, fast, and effective two-dimensional automatic phase unwrapping algorithm based on image decomposition. Appl Opt 41: 7445–7455 Schofield MA, Zhu Y (2003) Fast phase unwrapping algorithm for interferometric applications.

Three Dimensional Television

This book is the condensed result of an extensive European project developing the future of 3D-Television. The book describes the state of the art in relevant topics: Capture of 3D scene for input to 3DTV system; Abstract representation of captured 3D scene information in digital form; Specifying data exchange format; Transmission of coded data; Conversion of 3DTV data for holographic and other displays; Equipment to decode and display 3DTV signal.

High Speed 3D Imaging with Digital Fringe Projection Techniques

T. J. Flynn, Two-dimensional phase unwrapping with minimum weighted discontinuity, J. Opt. Soc. Am. A 14, 2692–2701, 1997. 105. D. C. Ghiglia and L. A. Romero, Minimum Lp -norm two-dimensional phase unwrapping, J. Opt. Soc.

High Speed 3D Imaging with Digital Fringe Projection Techniques

Digital fringe projection (DFP) techniques are used for non-contact shape measurement of 3D images. In the rapidly expanding field of 3D high-speed imaging, the demand for DFP continues to grow due to the technology’s fast speed, flexibility, low cost, and high accuracy. High-Speed 3D Imaging with Digital Fringe Projection Techniques discusses the generation of digital fringe with digital video projection devices, covering a variety of core technical aspects. The book begins by establishing the theoretical foundations of fringe pattern analysis, reviewing various 3D imaging techniques while highlighting the advantages of DFP. The author then: Describes the differences between digital light processing (DLP), liquid crystal display (LCD), and liquid crystal on silicon (LCoS) Explains how to unwrap phase maps temporally and spatially Shows how to generate fringe patterns with video projectors Demonstrates how to convert phase to coordinates through system calibrations Provides a detailed example of a built-from-scratch 3D imaging system Incorporating valuable insights gained during the author’s 15+ years of 3D imaging research, High-Speed 3D Imaging with Digital Fringe Projection Techniques illuminates the pathway to advancement in high-speed 3D optical imaging using DFP.

Springer Handbook of Experimental Solid Mechanics

148-153 J.M. Huntley, H. Saldner: Temporal phase- unwrapping algorithm for automated inter- ferogram analysis, Appl. Opt. 32(17), 3047-3052 (1993) D.C. Ghiglia, L.A. Romero: Robust two-dimensional weighted and unweighted phase ...

Springer Handbook of Experimental Solid Mechanics

As a reference book, the Springer Handbook provides a comprehensive exposition of the techniques and tools of experimental mechanics. An informative introduction to each topic is provided, which advises the reader on suitable techniques for practical applications. New topics include biological materials, MEMS and NEMS, nanoindentation, digital photomechanics, photoacoustic characterization, and atomic force microscopy in experimental solid mechanics. Written and compiled by internationally renowned experts in the field, this book is a timely, updated reference for both practitioners and researchers in science and engineering.

Artificial Intelligence in Digital Holographic Imaging

Two-Dimensional Phase Unwrapping: Theory, Algorithms and Software. New York: Wiley. 4 Arevalillo-Herráez, M., Burton, D.R., Lalor, M.J., and Gdeisat, M.A. (2002). Fast two-dimensional phase-unwrapping algorithm based on sorting by ...

Artificial Intelligence in Digital Holographic Imaging

Artificial Intelligence in Digital Holographic Imaging Technical Basis and Biomedical Applications An eye-opening discussion of 3D optical sensing, imaging, analysis, and pattern recognition Artificial intelligence (AI) has made great progress in recent years. Digital holographic imaging has recently emerged as a powerful new technique well suited to explore cell structure and dynamics with a nanometric axial sensitivity and the ability to identify new cellular biomarkers. By combining digital holography with AI technology, including recent deep learning approaches, this system can achieve a record-high accuracy in non-invasive, label-free cellular phenotypic screening. It opens up a new path to data-driven diagnosis. Artificial Intelligence in Digital Holographic Imaging introduces key concepts and algorithms of AI to show how to build intelligent holographic imaging systems drawing on techniques from artificial neural networks, convolutional neural networks, and generative adversarial network. Readers will be able to gain an understanding of the basics for implementing AI in holographic imaging system designs and connecting practical biomedical questions that arise from the use of digital holography with various AI algorithms in intelligence models. What’s Inside Introductory background on digital holography Key concepts of digital holographic imaging Deep-learning techniques for holographic imaging AI techniques in holographic image analysis Holographic image-classification models Automated phenotypic analysis of live cells For readers with various backgrounds, this book provides a detailed discussion of the use of intelligent holographic imaging system in biomedical fields with great potential for biomedical application.

Phase Estimation in Optical Interferometry

Karout, S.A., Gdeisat, M.A., Burton, D. R., and Lalor, M.J. Two-dimensional phase unwrapping using a hybrid genetic algorithm. Applied Optics 46,730– 743, 2007. 9. Chavez, S., Xiang, Q., and An, L. Understanding phase maps in MRI: A new ...

Phase Estimation in Optical Interferometry

Phase Estimation in Optical Interferometry covers the essentials of phase-stepping algorithms used in interferometry and pseudointerferometric techniques. It presents the basic concepts and mathematics needed for understanding the phase estimation methods in use today. The first four chapters focus on phase retrieval from image transforms using a single frame. The next several chapters examine the local environment of a fringe pattern, give a broad picture of the phase estimation approach based on local polynomial phase modeling, cover temporal high-resolution phase evaluation methods, and present methods of phase unwrapping. The final chapter discusses experimental imperfections that are liable to adversely influence the accuracy of phase measurements. Responding to the push for the deployment of novel technologies and fast-evolving techniques, this book provides a framework for understanding various modern phase estimation methods. It also helps readers get a comparative view of the performance and limitations of the approaches.

Advances in Speckle Metrology and Related Techniques

The techniques described in the previous sections of this chapter provide phase maps in two or three dimensions whose values ... It turns out that phase unwrapping in 3D can be simpler than in 2D and more robust than in either 1D or 2D.

Advances in Speckle Metrology and Related Techniques

Speckle metrology includes various optical techniques that are based on the speckle fields generated by reflection from a rough surface or by transmission through a rough diffuser. These techniques have proven to be very useful in testing different materials in a non-destructive way. They have changed dramatically during the last years due to the development of modern optical components, with faster and more powerful digital computers, and novel data processing approaches. This most up-to-date overview of the topic describes new techniques developed in the field of speckle metrology over the last decade, as well as applications to experimental mechanics, material science, optical testing, and fringe analysis.

Blind Image Deconvolution

[59] D. C. Ghiglia and M. D. Pritt, Two-Dimensional Phase Unwrapping: Theory, Algorithms, and Software. New York: Wiley-Interscience, 1998. [60] H. Nyquist, “Certain topics in telegraph transmission theory,” Trans. AIEE, vol.

Blind Image Deconvolution

Blind image deconvolution is constantly receiving increasing attention from the academic as well the industrial world due to both its theoretical and practical implications. The field of blind image deconvolution has several applications in different areas such as image restoration, microscopy, medical imaging, biological imaging, remote sensing, astronomy, nondestructive testing, geophysical prospecting, and many others. Blind Image Deconvolution: Theory and Applications surveys the current state of research and practice as presented by the most recognized experts in the field, thus filling a gap in the available literature on blind image deconvolution. Explore the gamut of blind image deconvolution approaches and algorithms that currently exist and follow the current research trends into the future. This comprehensive treatise discusses Bayesian techniques, single- and multi-channel methods, adaptive and multi-frame techniques, and a host of applications to multimedia processing, astronomy, remote sensing imagery, and medical and biological imaging at the whole-body, small-part, and cellular levels. Everything you need to step into this dynamic field is at your fingertips in this unique, self-contained masterwork. For image enhancement and restoration without a priori information, turn to Blind Image Deconvolution: Theory and Applications for the knowledge and techniques you need to tackle real-world problems.

Sciences of Geodesy I

The phase of an SAR interferogram is a two-dimensional matrix. In this situation the phase unwrapping process becomes significantly more complicated. Let the wrapped interferogram phase be ψi,j; then its unwrapped phase should be φi,j ...

Sciences of Geodesy   I

This series of reference books describes sciences of different elds in and around geodesy with independent chapters. Each chapter covers an individual eld and describes the history, theory, objective, technology, development, highlights of research and applications. In addition, problems as well as future directions are discussed. The subjects of this reference book include Absolute and Relative Gravimetry, Adaptively Robust Kalman Filters with Applications in Navigation, Airborne Gravity Field Determination, Analytic Orbit Theory, Deformation and Tectonics, Earth Rotation, Equivalence of GPS Algorithms and its Inference, Marine Geodesy, Satellite Laser Ranging, Superconducting Gravimetry and Synthetic Aperture Radar Interferometry. These are individual subjects in and around geodesy and are for the rst time combined in a unique book which may be used for teaching or for learning basic principles of many subjects related to geodesy. The material is suitable to provide a general overview of geodetic sciences for high-level geodetic researchers, educators as well as engineers and students. Some of the chapters are written to ll literature blanks of the related areas. Most chapters are written by well-known scientists throughout the world in the related areas. The chapters are ordered by their titles. Summaries of the individual chapters and introductions of their authors and co-authors are as follows. Chapter 1 “Absolute and Relative Gravimetry” provides an overview of the gravimetric methods to determine most accurately the gravity acceleration at given locations.

Energy Minimization Methods in Computer Vision and Pattern Recognition

Data-dependent systems methodology for noise-insensitive phase unwrapping in laser interferometric surface characterization. Journal of the Optical Society of America, 11(10):2584–2592, 1994. 5. D. Ghiglia and M. Pritt. Two-Dimensional ...

Energy Minimization Methods in Computer Vision and Pattern Recognition

This book constitutes the refereed proceedings of the 5th International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2005, held in St. Augustine, FL, USA in November 2005. The 24 revised full papers and 18 poster papers presented were carefully reviewed and selected from 120 submissions. The papers are organized in topical sections on probabilistic and informational approaches, combinatorial approaches, variational approaches, and other approaches and applications.

Simulation and Experiment in Laser Metrology

Phase unwrapping In order to make effective industrial use of fringe phases , a phase unwrapping processing is generally required . In this study , because two - dimensional fringe analysis methods have been discussed , the phase ...

Simulation and Experiment in Laser Metrology

These proceedings document about 45 contributions to the International Symposium on Laser Applications in Precision Measurement held in Balatonfüred/Hungary during June 3–6, 1996. Special emphasis was given to the Combination of Simulation and Experiment in Laser Metrology. International experts provide a survey over a large variety of their latest achievements and developments in this rapidly advancing field. Over the last years, optical measurement techniques like structured illumination, holographic interferometry and tomography were applied more and more in combination with CAE–tools such as CAD and FEM. This combination has found a world of new applications in scientific and industrial branches interested in highly exact but nondestructive and noncontact measurement of technical components. Each of the four sections contains an overview article given by international leading experts. With that the proceedings should be considered to be a state–of–the–art report combining the areas of mathematical modeling of objects, experimental testing under definite stresses, computer–aided evaluation and measuring of objects.

Advanced Optical Instruments and Techniques

Cellular automata method for phase unwrapping, J. Opt. Soc. Am., 4, 267–280; 1987. 68. Bone DJ. Fourier fringe analysis: The two dimensional phase unwrapping problem, Appl. Opt., 30, 3627–3632; 1991. 69. Owner-Petersen M. Phase ...

Advanced Optical Instruments and Techniques

Advanced Optical Instruments and Techniques includes twenty-three chapters providing processes, methods, and procedures of cutting-edge optics engineering design and instrumentation. Topics include biomedical instrumentation and basic and advanced interferometry. Optical metrology is discussed, including point and full-field methods. Active and adaptive optics, holography, radiometry, the human eye, and visible light are covered as well as materials, including photonics, nanophotonics, anisotropic materials, and metamaterials.

Vision Sensors and Edge Detection

Introduction Two-dimensional phase unwrapping is the task of recovering the true phase values, given the wrapped phase values in an image. Phase unwrapping arises in several branches of applied optics, physics, medicine and engineering, ...

Vision Sensors and Edge Detection

Vision Sensors and Edge Detection book reflects a selection of recent developments within the area of vision sensors and edge detection. There are two sections in this book. The first section presents vision sensors with applications to panoramic vision sensors, wireless vision sensors, and automated vision sensor inspection, and the second one shows image processing techniques, such as, image measurements, image transformations, filtering, and parallel computing.

Academic Press Library in Signal Processing

C.W. Chen, H.A. Zebker, Two-dimensional phase unwrapping with use of statistical models for cost functions in nonlinear optimization, J. Opt. Soc. Am. A 18 (2001) 338–351. C.W. Chen, H.A. Zebker, Phase unwrapping for large SAR ...

Academic Press Library in Signal Processing

This second volume, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in communications and radar engineering. With this reference source you will: Quickly grasp a new area of research Understand the underlying principles of a topic and its application Ascertain how a topic relates to other areas and learn of the research issues yet to be resolved Quick tutorial reviews of important and emerging topics of research in array and statistical signal processing Presents core principles and shows their application Reference content on core principles, technologies, algorithms and applications Comprehensive references to journal articles and other literature on which to build further, more specific and detailed knowledge Edited by leading people in the field who, through their reputation, have been able to commission experts to write on a particular topic

Magnetic Resonance Elastography

Coherence of the phase data is required along all dimensions, which renders any one-dimensional unwrapping approach unsuitable.2 Two-dimensional phase unwrapping algorithms have been developed for various image-processing applications ...

Magnetic Resonance Elastography

Magnetic resonance elastography (MRE) is a medical imaging technique that combines magnetic resonance imaging (MRI) with mechanical vibrations to generate maps of viscoelastic properties of biological tissue. It serves as a non-invasive tool to detect and quantify mechanical changes in tissue structure, which can be symptoms or causes of various diseases. Clinical and research applications of MRE include staging of liver fibrosis, assessment of tumor stiffness and investigation of neurodegenerative diseases. The first part of this book is dedicated to the physical and technological principles underlying MRE, with an introduction to MRI physics, viscoelasticity theory and classical waves, as well as vibration generation, image acquisition and viscoelastic parameter reconstruction. The second part of the book focuses on clinical applications of MRE to various organs. Each section starts with a discussion of the specific properties of the organ, followed by an extensive overview of clinical and preclinical studies that have been performed, tabulating reference values from published literature. The book is completed by a chapter discussing technical aspects of elastography methods based on ultrasound.

Advances in Geospatial Data Science

ESA: SkyWatch Space Applications Inc. http://step.esa.int/main/doc/tutorials Chen CW, Zebker HA (2000) Network approaches to two-dimensional phase unwrapping: intractability and two new algorithms. JOSA A 17:401–414 Constantini M (1998) ...

Advances in Geospatial Data Science

This book presents a selection of manuscripts submitted to the 2nd International Conference on Geospatial Information Sciences 2021, a virtual conference held on November 3-5, 2021. These papers were selected by the Scientific Program Committee of the Conference after a rigorous peer-review process. They represent the vast scope of the interdisciplinary research areas that characterize the Geospatial Information Sciences that is done in the discipline. It especially represents a fabulous opportunity to showcase research carried out by young Mexican researchers and showcase it to the rest of the world and enhance the growth of the sciences in the country while, at the same time, enforces them to level up with other research at the international level.

Time of Flight Cameras

2.5 Two-dimensional phase-unwrapping example. a Measured phase image. (b–d) Sequentially unwrapped phase images where the phase difference across the red dotted line has been minimized. From a to d, all the phase values have been ...

Time of Flight Cameras

Time-of-flight (TOF) cameras provide a depth value at each pixel, from which the 3D structure of the scene can be estimated. This new type of active sensor makes it possible to go beyond traditional 2D image processing, directly to depth-based and 3D scene processing. Many computer vision and graphics applications can benefit from TOF data, including 3D reconstruction, activity and gesture recognition, motion capture and face detection. It is already possible to use multiple TOF cameras, in order to increase the scene coverage, and to combine the depth data with images from several colour cameras. Mixed TOF and colour systems can be used for computational photography, including full 3D scene modelling, as well as for illumination and depth-of-field manipulations. This work is a technical introduction to TOF sensors, from architectural and design issues, to selected image processing and computer vision methods.

Learning Approaches in Signal Processing

Analysis of the phase unwrapping algorithm, Appl. Opt., 21(14), p. 2470. R. M. Goldstein, H. A. Zebker, and C. L. Werner (1998). Satellite radar interferometry: Two-dimensional phase unwrapping, Radio Sci., 23(4), pp. 713–720.

Learning Approaches in Signal Processing

Coupled with machine learning, the use of signal processing techniques for big data analysis, Internet of things, smart cities, security, and bio-informatics applications has witnessed explosive growth. This has been made possible via fast algorithms on data, speech, image, and video processing with advanced GPU technology. This book presents an up-to-date tutorial and overview on learning technologies such as random forests, sparsity, and low-rank matrix estimation and cutting-edge visual/signal processing techniques, including face recognition, Kalman filtering, and multirate DSP. It discusses the applications that make use of deep learning, convolutional neural networks, random forests, etc. The applications include super-resolution imaging, fringe projection profilometry, human activities detection/capture, gesture recognition, spoken language processing, cooperative networks, bioinformatics, DNA, and healthcare.

Fringe 2013

Goldstein, R.M., Zebker, H.A., Werner, C.L.: Satellite radar interferometry – Twodimensional phase unwrapping. Radio Sci. 23, 713–720 (1988) 2. Flynn, T.J.: Two-dimensional phase unwrapping with minimum weighted discontinuity.

Fringe 2013

In continuation of the FRINGE Workshop Series this Proceeding contains all contributions presented at the 7. International Workshop on Advanced Optical Imaging and Metrology. The FRINGE Workshop Series is dedicated to the presentation, discussion and dissemination of recent results in Optical Imaging and Metrology. Topics of particular interest for the 7. Workshop are: - New methods and tools for the generation, acquisition, processing, and evaluation of data in Optical Imaging and Metrology (digital wavefront engineering, computational imaging, model-based reconstruction, compressed sensing, inverse problems solution) - Application-driven technologies in Optical Imaging and Metrology (high-resolution, adaptive, active, robust, reliable, flexible, in-line, real-time) - High-dynamic range solutions in Optical Imaging and Metrology (from macro to nano) - Hybrid technologies in Optical Imaging and Metrology (hybrid optics, sensor and data fusion, model-based solutions, multimodality) - New optical sensors, imaging and measurement systems (integrated, miniaturized, in-line, real-time, traceable, remote) Special emphasis is put on new strategies, taking into account the active combination of physical modeling, computer aided simulation and experimental data acquisition. In particular attention is directed towards new approaches for the extension of existing resolution limits that open the gates to wide-scale metrology, ranging from macro to nano, by considering dynamic changes and using advanced optical imaging and sensor systems.