Download or read book Optical Processing and Computing written by Henri Arsenault and published by Elsevier. This book was released on 2012-12-02 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optical Processing and Computing is a collection of research from the USA, Canada, Russia, and Poland on the developments in the fields of digital optical computing and analog optical processing. This book is organized into 15 chapters and begins with an overview of the hierarchy of interconnect problems. Some chapters deal with the fundamental limitations and capabilities of optics in relation to interconnections, switching, computing, materials, and devices. Other chapters explore the architectures, technology, and applications of the field. The topics range from promising areas in the early stages of development, such as nonlinear effects in fibers that could bring about the optical transistor, to developments in areas ready for technology, such as the production of optical kinoforms, an important type of computer-generated optical component. With a strong focus on the fundamental aspects of the field, this book is of interest to specialists, researchers, and students who need a broad coverage of the principles of optical computing and of the underlying physics.
Download or read book Optical Computing written by Dror G. Feitelson and published by MIT Press (MA). This book was released on 1988 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optical Computers provides the first in-depth review of the possibilities and limitations of optical data processing.
Download or read book OPTICAL PROCESSING AND COMPUTING written by North Atlantic Treaty Organization and published by . This book was released on 1995 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Optical Processing and Computing written by and published by . This book was released on 1995 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optical computing, namely information processing using light waves to represent the data, possesses some inherent advantage over electronic computing, in particular for massive data storage and parallell and neural processing. The main aim of the LS is to show how recent advances in lightwave technology make the time ripe to consider exploiting the potential of optical computing for data procesing applications. The LS will be opened with an overview of the basic concepts and inherent advantages of using optics for data processing and computing applications. The rest of the first day will be devoted to two topics: the use of optics for interconnecting computing devices and systems. The second day of the LS will be opened with an overview of the emerging field of artificial neural networks as a signal processing paradigm, and its hardware, and in particular its optical implementations. Finally, the LS will be concluded with a description of recent developments of optoelectronic data communication, and their forecasted effect on computing and data processing technologies.
Download or read book Introduction to Visual Computing written by Aditi Majumder and published by CRC Press. This book was released on 2018-01-31 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Visual Computing: Core Concepts in Computer Vision, Graphics, and Image Processing covers the fundamental concepts of visual computing. Whereas past books have treated these concepts within the context of specific fields such as computer graphics, computer vision or image processing, this book offers a unified view of these core concepts, thereby providing a unified treatment of computational and mathematical methods for creating, capturing, analyzing and manipulating visual data (e.g. 2D images, 3D models). Fundamentals covered in the book include convolution, Fourier transform, filters, geometric transformations, epipolar geometry, 3D reconstruction, color and the image synthesis pipeline. The book is organized in four parts. The first part provides an exposure to different kinds of visual data (e.g. 2D images, videos and 3D geometry) and the core mathematical techniques that are required for their processing (e.g. interpolation and linear regression.) The second part of the book on Image Based Visual Computing deals with several fundamental techniques to process 2D images (e.g. convolution, spectral analysis and feature detection) and corresponds to the low level retinal image processing that happens in the eye in the human visual system pathway. The next part of the book on Geometric Visual Computing deals with the fundamental techniques used to combine the geometric information from multiple eyes creating a 3D interpretation of the object and world around us (e.g. transformations, projective and epipolar geometry, and 3D reconstruction). This corresponds to the higher level processing that happens in the brain combining information from both the eyes thereby helping us to navigate through the 3D world around us. The last two parts of the book cover Radiometric Visual Computing and Visual Content Synthesis. These parts focus on the fundamental techniques for processing information arising from the interaction of light with objects around us, as well as the fundamentals of creating virtual computer generated worlds that mimic all the processing presented in the prior sections. The book is written for a 16 week long semester course and can be used for both undergraduate and graduate teaching, as well as a reference for professionals.
Download or read book Optical Computers written by Richard Kendall Miller and published by . This book was released on 1986 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Optical and Electro optical Information Processing written by James T. Tippett and published by . This book was released on 1965 with total page 808 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Introduction to Optical Quantum Information Processing written by Pieter Kok and published by Cambridge University Press. This book was released on 2010-04-22 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantum information processing offers fundamental improvements over classical information processing, such as computing power, secure communication, and high-precision measurements. However, the best way to create practical devices is not yet known. This textbook describes the techniques that are likely to be used in implementing optical quantum information processors. After developing the fundamental concepts in quantum optics and quantum information theory, the book shows how optical systems can be used to build quantum computers according to the most recent ideas. It discusses implementations based on single photons and linear optics, optically controlled atoms and solid-state systems, atomic ensembles, and optical continuous variables. This book is ideal for graduate students beginning research in optical quantum information processing. It presents the most important techniques of the field using worked examples and over 120 exercises.
Download or read book Digital Optical Computing written by Ravindra A. Athale and published by SPIE-International Society for Optical Engineering. This book was released on 1990 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: SPIE Critical Reviews cover a variety of optics-related topics.
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
Download or read book Optical Computing written by Dror G. Feitelson and published by MIT Press (MA). This book was released on 1988 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optical Computers provides the first in-depth review of the possibilities and limitations of optical data processing.
Download or read book Optical Computing written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2022-07-10 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Optical Computing In optical computing, also known as photonic computing, light waves generated by lasers or other incoherent sources are used to perform computer tasks such as data processing, data storage, or data transfer. Photons have been shown their potential for some decades now to offer a larger bandwidth than the electrons that are employed in traditional computers. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Optical computing Chapter 2: Computing Chapter 3: Quantum computing Chapter 4: Timeline of quantum computing and communication Chapter 5: Photonic crystal Chapter 6: Quantum algorithm Chapter 7: Quantum network Chapter 8: Shlomi Dolev Chapter 9: Fiber laser Chapter 10: Interconnect bottleneck Chapter 11: Photonic integrated circuit Chapter 12: Silicon photonics Chapter 13: Computer-generated holography Chapter 14: Subwavelength-diameter optical fibre Chapter 15: Optical transistor Chapter 16: Orbital angular momentum multiplexing Chapter 17: Photonic molecule Chapter 18: Linear optical quantum computing Chapter 19: Integrated quantum photonics Chapter 20: JCMsuite Chapter 21: Quantum memory (II) Answering the public top questions about optical computing. (III) Real world examples for the usage of optical computing in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of optical computing' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of optical computing.
Download or read book Photonic Reservoir Computing written by Daniel Brunner and published by Walter de Gruyter GmbH & Co KG. This book was released on 2019-07-08 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: Photonics has long been considered an attractive substrate for next generation implementations of machine-learning concepts. Reservoir Computing tremendously facilitated the realization of recurrent neural networks in analogue hardware. This concept exploits the properties of complex nonlinear dynamical systems, giving rise to photonic reservoirs implemented by semiconductor lasers, telecommunication modulators and integrated photonic chips.
Download or read book Optical Computing written by Mohammad A. Karim and published by Wiley-Interscience. This book was released on 1992-04-22 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: A source on the rapidly changing field of optical computing. Readers are taken through the relevant concepts of classical and Fourier optics, digital logic and digital image processing. In addition to exploration of the basic principles, it applies the characteristics of both all-optical and electro-optic devices/systems to the solution of optical computing. Additional discussions focus on analog optical computing, digital logic and digital optical computing. Exercise problems, up-to-date references and further reading resources complete the book.
Download or read book Signal Processing for Computer Vision written by Gösta H. Granlund and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: Signal Processing for Computer Vision is a unique and thorough treatment of the signal processing aspects of filters and operators for low-level computer vision. Computer vision has progressed considerably over recent years. From methods only applicable to simple images, it has developed to deal with increasingly complex scenes, volumes and time sequences. A substantial part of this book deals with the problem of designing models that can be used for several purposes within computer vision. These partial models have some general properties of invariance generation and generality in model generation. Signal Processing for Computer Vision is the first book to give a unified treatment of representation and filtering of higher order data, such as vectors and tensors in multidimensional space. Included is a systematic organisation for the implementation of complex models in a hierarchical modular structure and novel material on adaptive filtering using tensor data representation. Signal Processing for Computer Vision is intended for final year undergraduate and graduate students as well as engineers and researchers in the field of computer vision and image processing.
Download or read book Silicon Photonics for High Performance Computing and Beyond written by Mahdi Nikdast and published by CRC Press. This book was released on 2021-11-16 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: Silicon photonics is beginning to play an important role in driving innovations in communication and computation for an increasing number of applications, from health care and biomedical sensors to autonomous driving, datacenter networking, and security. In recent years, there has been a significant amount of effort in industry and academia to innovate, design, develop, analyze, optimize, and fabricate systems employing silicon photonics, shaping the future of not only Datacom and telecom technology but also high-performance computing and emerging computing paradigms, such as optical computing and artificial intelligence. Different from existing books in this area, Silicon Photonics for High-Performance Computing and Beyond presents a comprehensive overview of the current state-of-the-art technology and research achievements in applying silicon photonics for communication and computation. It focuses on various design, development, and integration challenges, reviews the latest advances spanning materials, devices, circuits, systems, and applications. Technical topics discussed in the book include: • Requirements and the latest advances in high-performance computing systems • Device- and system-level challenges and latest improvements to deploy silicon photonics in computing systems • Novel design solutions and design automation techniques for silicon photonic integrated circuits • Novel materials, devices, and photonic integrated circuits on silicon • Emerging computing technologies and applications based on silicon photonics Silicon Photonics for High-Performance Computing and Beyond presents a compilation of 19 outstanding contributions from academic and industry pioneers in the field. The selected contributions present insightful discussions and innovative approaches to understand current and future bottlenecks in high-performance computing systems and traditional computing platforms, and the promise of silicon photonics to address those challenges. It is ideal for researchers and engineers working in the photonics, electrical, and computer engineering industries as well as academic researchers and graduate students (M.S. and Ph.D.) in computer science and engineering, electronic and electrical engineering, applied physics, photonics, and optics.
Download or read book Vision with Direction written by Josef Bigun and published by Springer Science & Business Media. This book was released on 2006-02-09 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image analysis is a computational feat which humans show excellence in, in comp- ison with computers. Yet the list of applications that rely on automatic processing of images has been growing at a fast pace. Biometric authentication by face, ?ngerprint, and iris, online character recognition in cell phones as well as drug design tools are but a few of its benefactors appearing on the headlines. This is, of course, facilitated by the valuable output of the resarch community in the past 30 years. The pattern recognition and computer vision communities that study image analysis have large conferences, which regularly draw 1000 parti- pants. In a way this is not surprising, because much of the human-speci?c activities critically rely on intelligent use of vision. If routine parts of these activities can be automated, much is to be gained in comfort and sustainable development. The - search ?eld could equally be called visualintelligence because it concerns nearly all activities of awake humans. Humans use or rely on pictures or pictorial languages to represent, analyze, and develop abstract metaphors related to nearly every aspect of thinking and behaving, be it science, mathematics, philosopy, religion, music, or emotions. The present volume is an introductory textbook on signal analysis of visual c- putation for senior-level undergraduates or for graduate students in science and - gineering. My modest goal has been to present the frequently used techniques to analyze images in a common framework–directional image processing.
