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Optical Compressive Imaging
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Book Synopsis Optical Compressive Imaging by : Adrian Stern
Download or read book Optical Compressive Imaging written by Adrian Stern and published by CRC Press. This book was released on 2016-11-17 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dedicated overview of optical compressive imaging addresses implementation aspects of the revolutionary theory of compressive sensing (CS) in the field of optical imaging and sensing. It overviews the technological opportunities and challenges involved in optical design and implementation, from basic theory to optical architectures and systems for compressive imaging in various spectral regimes, spectral and hyperspectral imaging, polarimetric sensing, three-dimensional imaging, super-resolution imaging, lens-free, on-chip microscopy, and phase sensing and retrieval. The reader will gain a complete introduction to theory, experiment, and practical use for reducing hardware, shortening image scanning time, and improving image resolution as well as other performance parameters. Optics practitioners and optical system designers, electrical and optical engineers, mathematicians, and signal processing professionals will all find the book a unique trove of information and practical guidance. Delivers the first book on compressed sensing dealing with system development for a wide variety of optical imaging and sensing applications. Covers the fundamentals of CS theory, including noise and algorithms, as well as basic design approaches for data acquisition in optics. Addresses the challenges of implementing compressed sensing theory in the context of different optical imaging designs, from 3D imaging to tomography and microscopy. Provides an essential resource for the design of new and improved devices with improved image quality and shorter acquisition times. Adrian Stern, PhD, is associate professor and head of the Electro-Optical Engineering Unit at Ben-Gurion University of the Negev, Israel. He is an elected Fellow of SPIE.
Book Synopsis Optical Compressive Imaging by : Adrian Stern
Download or read book Optical Compressive Imaging written by Adrian Stern and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Optical Compressive Imaging by : Russell Duffy
Download or read book Optical Compressive Imaging written by Russell Duffy and published by Createspace Independent Publishing Platform. This book was released on 2017-02-15 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: An exciting new development has taken place in the digital era that has captured the imagination and talent of researchers around the globe - wavelet image compression. This technology has deep roots in theories of vision, and promises performance improvements over all other compression methods, such as those based on Fourier transforms, vectors quantizers, fractals, neural nets, and many others.
Book Synopsis Compressive Imaging: Structure, Sampling, Learning by : Ben Adcock
Download or read book Compressive Imaging: Structure, Sampling, Learning written by Ben Adcock and published by Cambridge University Press. This book was released on 2021-09-16 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accurate, robust and fast image reconstruction is a critical task in many scientific, industrial and medical applications. Over the last decade, image reconstruction has been revolutionized by the rise of compressive imaging. It has fundamentally changed the way modern image reconstruction is performed. This in-depth treatment of the subject commences with a practical introduction to compressive imaging, supplemented with examples and downloadable code, intended for readers without extensive background in the subject. Next, it introduces core topics in compressive imaging – including compressed sensing, wavelets and optimization – in a concise yet rigorous way, before providing a detailed treatment of the mathematics of compressive imaging. The final part is devoted to recent trends in compressive imaging: deep learning and neural networks. With an eye to the next decade of imaging research, and using both empirical and mathematical insights, it examines the potential benefits and the pitfalls of these latest approaches.
Book Synopsis Super-resolution Compressive Imaging System Based on Optical Radon Projections by : Vladimir Farber
Download or read book Super-resolution Compressive Imaging System Based on Optical Radon Projections written by Vladimir Farber and published by . This book was released on 2013 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Optical Imaging and Spectroscopy by : David J. Brady
Download or read book Optical Imaging and Spectroscopy written by David J. Brady and published by John Wiley & Sons. This book was released on 2009-04-27 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Compressed Sensing with Side Information on the Feasible Region by : Mohammad Rostami
Download or read book Compressed Sensing with Side Information on the Feasible Region written by Mohammad Rostami and published by Springer. This book was released on 2013-05-15 with total page 77 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses compressive sensing in the presence of side information. Compressive sensing is an emerging technique for efficiently acquiring and reconstructing a signal. Interesting instances of Compressive Sensing (CS) can occur when, apart from sparsity, side information is available about the source signals. The side information can be about the source structure, distribution, etc. Such cases can be viewed as extensions of the classical CS. In these cases we are interested in incorporating the side information to either improve the quality of the source reconstruction or decrease the number of samples required for accurate reconstruction. In this book we assume availability of side information about the feasible region. The main applications investigated are image deblurring for optical imaging, 3D surface reconstruction, and reconstructing spatiotemporally correlated sources. The author shows that the side information can be used to improve the quality of the reconstruction compared to the classic compressive sensing. The book will be of interest to all researchers working on compressive sensing, inverse problems, and image processing.
Book Synopsis Characterizing High-dimensional Optical Systems with Applications in Compressive Sensing and Quantum Data Locking by : Daniel Jacob Lum
Download or read book Characterizing High-dimensional Optical Systems with Applications in Compressive Sensing and Quantum Data Locking written by Daniel Jacob Lum and published by . This book was released on 2018 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: "High-dimensional systems are desired for their ability to transfer large amounts of information. This dissertation focuses on the characterization and usage of high-dimensional optical systems for computational imaging, high-dimensional entanglement, and efficient secure-information transfer. Within computational imaging systems, capturing the most spatial frequencies results in sharper images. Utilizing the correlations within high-dimensional entanglement offers signal-to-noise ratio enhancements over lowlight imaging and spectroscopic systems. Finally, high-dimensional quantum channels offer a regime in which quantum data locking can encrypt information according to information-theoretic-secure standards more efficiently than classical systems. While high-dimensionality offers certain performance gains, characterizing and then harnessing high-dimensional systems for computational imaging, entanglementenhanced applications, and quantum-secure direct communication can be prohibitively difficult. This dissertation offers unique solutions to each of these problems. Compressive imaging is relied on heavily to improve measurement rates in limitedresource imaging systems. As such, compressive sensing is introduced in chapter 1 while entanglement and an experimental source of high-dimensional entangled photons is covered in chapter 2. Chapter 3 introduces Sylvester-Hadamard matrices for compressive measurement and efficient computational-recovery of high-dimensional correlations. Compressive imaging is then presented as an efficient means of converting a standard frequency-modulated continuous-wave LiDAR system into a high-resolution depth-imaging system in chapter 4. Chapter 5 introduces quantum data locking and presents one of the first experimental demonstrations made possible by the use of a large-area, high-efficiency, single-photon-counting detector array. For completeness, robust compressive sensing recovery algorithms using the alternating direction method of multipliers are presented in the appendix."--Pages xii-xiii.
Book Synopsis Coded Optical Imaging by : Jinyang Liang
Download or read book Coded Optical Imaging written by Jinyang Liang and published by Springer Nature. This book was released on with total page 697 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Compressed Optical Imaging by : Aurélien Bourquard
Download or read book Compressed Optical Imaging written by Aurélien Bourquard and published by . This book was released on 2013 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Secure Compressive Sensing in Multimedia Data, Cloud Computing and IoT by : Yushu Zhang
Download or read book Secure Compressive Sensing in Multimedia Data, Cloud Computing and IoT written by Yushu Zhang and published by Springer. This book was released on 2018-09-01 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives a comprehensive and systematic review of secure compressive sensing (CS) for applications in various fields such as image processing, pattern recognition, Internet of things (IoT), and cloud computing. It will help readers grasp the knowledge of secure CS and its applications, and stimulate more readers to work on the research and development of secure CS. It discusses how CS becomes a cryptosystem, followed by the corresponding designs and analyses. The application of CS in multimedia data encryption is presented, in which the general design framework is given together with several particular frameworks including parallel CS, involvement of image processing techniques, and double protection mechanism. It also describes the applications of CS in cloud computing security and IoT security, i.e., privacy-preserving reconstruction in cloud computing and secure low-cost sampling in IoT, respectively.
Book Synopsis Fourier Optics and Computational Imaging by : Kedar Khare
Download or read book Fourier Optics and Computational Imaging written by Kedar Khare and published by John Wiley & Sons. This book was released on 2015-08-04 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers both the mathematics of inverse problems and optical systems design, and includes a review of the mathematical methods and Fourier optics. The first part of the book deals with the mathematical tools in detail with minimal assumption about prior knowledge on the part of the reader. The second part of the book discusses concepts in optics, particularly propagation of optical waves and coherence properties of optical fields that form the basis of the computational models used for image recovery. The third part provides a discussion of specific imaging systems that illustrate the power of the hybrid computational imaging model in enhancing imaging performance. A number of exercises are provided for readers to develop further understanding of computational imaging. While the focus of the book is largely on optical imaging systems, the key concepts are discussed in a fairly general manner so as to provide useful background for understanding the mechanisms of a diverse range of imaging modalities.
Book Synopsis Optical and Digital Image Processing by : Gabriel Cristobal
Download or read book Optical and Digital Image Processing written by Gabriel Cristobal and published by John Wiley & Sons. This book was released on 2013-02-12 with total page 949 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, Moore's law has fostered the steady growth of the field of digital image processing, though the computational complexity remains a problem for most of the digital image processing applications. In parallel, the research domain of optical image processing has matured, potentially bypassing the problems digital approaches were suffering and bringing new applications. The advancement of technology calls for applications and knowledge at the intersection of both areas but there is a clear knowledge gap between the digital signal processing and the optical processing communities. This book covers the fundamental basis of the optical and image processing techniques by integrating contributions from both optical and digital research communities to solve current application bottlenecks, and give rise to new applications and solutions. Besides focusing on joint research, it also aims at disseminating the knowledge existing in both domains. Applications covered include image restoration, medical imaging, surveillance, holography, etc... "a very good book that deserves to be on the bookshelf of a serious student or scientist working in these areas." Source: Optics and Photonics News
Book Synopsis Compressed Sensing Based Optical System for Snapshot Spectral Imaging by : Roman Malinsky
Download or read book Compressed Sensing Based Optical System for Snapshot Spectral Imaging written by Roman Malinsky and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Compressive Sensing and Conventional Hyperspectral Imaging Systems Comparison by : Adi Shay
Download or read book Compressive Sensing and Conventional Hyperspectral Imaging Systems Comparison written by Adi Shay and published by . This book was released on 2014 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Time-resolved Hyperspectral Compressive Single-pixel Wide-field Optical Imaging by : Qi Pian
Download or read book Time-resolved Hyperspectral Compressive Single-pixel Wide-field Optical Imaging written by Qi Pian and published by . This book was released on 2017 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis 3rd International Symposium of Space Optical Instruments and Applications by : H. Paul Urbach
Download or read book 3rd International Symposium of Space Optical Instruments and Applications written by H. Paul Urbach and published by Springer. This book was released on 2017-03-06 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains selected and expanded contributions presented at the 3rd Symposium on Space Optical Instruments and Applications in Beijing, China June 28 – 29, 2016. This conference series is organised by the Sino-Holland Space Optical Instruments Laboratory, a cooperation platform between China and the Netherlands. The symposium focused on key technological problems of optical instruments and their applications in a space context. It covered the latest developments, experiments and results regarding theory, instrumentation and applications in space optics. The book is split across five topical sections. The first section covers space optical remote sensing system design, the second advanced optical system design, the third remote sensor calibration and measurement. Remote sensing data processing and information extraction is then presented, followed by a final section on remote sensing data applications.
