Computational Imaging

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Computational Imaging

Author : Ayush Bhandari
Publisher : MIT Press
ISBN 13 : 0262046474
Total Pages : 482 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Computational Imaging by : Ayush Bhandari

Download or read book Computational Imaging written by Ayush Bhandari and published by MIT Press. This book was released on 2022-10-25 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive and up-to-date textbook and reference for computational imaging, which combines vision, graphics, signal processing, and optics. Computational imaging involves the joint design of imaging hardware and computer algorithms to create novel imaging systems with unprecedented capabilities. In recent years such capabilities include cameras that operate at a trillion frames per second, microscopes that can see small viruses long thought to be optically irresolvable, and telescopes that capture images of black holes. This text offers a comprehensive and up-to-date introduction to this rapidly growing field, a convergence of vision, graphics, signal processing, and optics. It can be used as an instructional resource for computer imaging courses and as a reference for professionals. It covers the fundamentals of the field, current research and applications, and light transport techniques. The text first presents an imaging toolkit, including optics, image sensors, and illumination, and a computational toolkit, introducing modeling, mathematical tools, model-based inversion, data-driven inversion techniques, and hybrid inversion techniques. It then examines different modalities of light, focusing on the plenoptic function, which describes degrees of freedom of a light ray. Finally, the text outlines light transport techniques, describing imaging systems that obtain micron-scale 3D shape or optimize for noise-free imaging, optical computing, and non-line-of-sight imaging. Throughout, it discusses the use of computational imaging methods in a range of application areas, including smart phone photography, autonomous driving, and medical imaging. End-of-chapter exercises help put the material in context.

Fourier Optics and Computational Imaging

Author : Kedar Khare
Publisher : John Wiley & Sons
ISBN 13 : 1118900340
Total Pages : 312 pages
Book Rating : 4.1/5 (189 download)

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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 2015-09-21 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.

Computational Photography

Author : Rastislav Lukac
Publisher : CRC Press
ISBN 13 : 1439817502
Total Pages : 564 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Computational Photography by : Rastislav Lukac

Download or read book Computational Photography written by Rastislav Lukac and published by CRC Press. This book was released on 2017-12-19 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational photography refers broadly to imaging techniques that enhance or extend the capabilities of digital photography. This new and rapidly developing research field has evolved from computer vision, image processing, computer graphics and applied optics—and numerous commercial products capitalizing on its principles have already appeared in diverse market applications, due to the gradual migration of computational algorithms from computers to imaging devices and software. Computational Photography: Methods and Applications provides a strong, fundamental understanding of theory and methods, and a foundation upon which to build solutions for many of today's most interesting and challenging computational imaging problems. Elucidating cutting-edge advances and applications in digital imaging, camera image processing, and computational photography, with a focus on related research challenges, this book: Describes single capture image fusion technology for consumer digital cameras Discusses the steps in a camera image processing pipeline, such as visual data compression, color correction and enhancement, denoising, demosaicking, super-resolution reconstruction, deblurring, and high dynamic range imaging Covers shadow detection for surveillance applications, camera-driven document rectification, bilateral filtering and its applications, and painterly rendering of digital images Presents machine-learning methods for automatic image colorization and digital face beautification Explores light field acquisition and processing, space-time light field rendering, and dynamic view synthesis with an array of cameras Because of the urgent challenges associated with emerging digital camera applications, image processing methods for computational photography are of paramount importance to research and development in the imaging community. Presenting the work of leading experts, and edited by a renowned authority in digital color imaging and camera image processing, this book considers the rapid developments in this area and addresses very particular research and application problems. It is ideal as a stand-alone professional reference for design and implementation of digital image and video processing tasks, and it can also be used to support graduate courses in computer vision, digital imaging, visual data processing, and computer graphics, among others.

Statistical and Computational Methods in Brain Image Analysis

Author : Moo K. Chung
Publisher : CRC Press
ISBN 13 : 1439836353
Total Pages : 436 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Statistical and Computational Methods in Brain Image Analysis by : Moo K. Chung

Download or read book Statistical and Computational Methods in Brain Image Analysis written by Moo K. Chung and published by CRC Press. This book was released on 2013-07-23 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: The massive amount of nonstandard high-dimensional brain imaging data being generated is often difficult to analyze using current techniques. This challenge in brain image analysis requires new computational approaches and solutions. But none of the research papers or books in the field describe the quantitative techniques with detailed illustrations of actual imaging data and computer codes. Using MATLAB® and case study data sets, Statistical and Computational Methods in Brain Image Analysis is the first book to explicitly explain how to perform statistical analysis on brain imaging data. The book focuses on methodological issues in analyzing structural brain imaging modalities such as MRI and DTI. Real imaging applications and examples elucidate the concepts and methods. In addition, most of the brain imaging data sets and MATLAB codes are available on the author’s website. By supplying the data and codes, this book enables researchers to start their statistical analyses immediately. Also suitable for graduate students, it provides an understanding of the various statistical and computational methodologies used in the field as well as important and technically challenging topics.

Natural Image Statistics

Author : Aapo Hyvärinen
Publisher : Springer Science & Business Media
ISBN 13 : 1848824912
Total Pages : 450 pages
Book Rating : 4.8/5 (488 download)

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Book Synopsis Natural Image Statistics by : Aapo Hyvärinen

Download or read book Natural Image Statistics written by Aapo Hyvärinen and published by Springer Science & Business Media. This book was released on 2009-04-21 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Aims and Scope This book is both an introductory textbook and a research monograph on modeling the statistical structure of natural images. In very simple terms, “natural images” are photographs of the typical environment where we live. In this book, their statistical structure is described using a number of statistical models whose parameters are estimated from image samples. Our main motivation for exploring natural image statistics is computational m- eling of biological visual systems. A theoretical framework which is gaining more and more support considers the properties of the visual system to be re?ections of the statistical structure of natural images because of evolutionary adaptation processes. Another motivation for natural image statistics research is in computer science and engineering, where it helps in development of better image processing and computer vision methods. While research on natural image statistics has been growing rapidly since the mid-1990s, no attempt has been made to cover the ?eld in a single book, providing a uni?ed view of the different models and approaches. This book attempts to do just that. Furthermore, our aim is to provide an accessible introduction to the ?eld for students in related disciplines.

Machine Learning in Computer Vision

Author : Nicu Sebe
Publisher : Springer Science & Business Media
ISBN 13 : 1402032757
Total Pages : 242 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Machine Learning in Computer Vision by : Nicu Sebe

Download or read book Machine Learning in Computer Vision written by Nicu Sebe and published by Springer Science & Business Media. This book was released on 2006-03-30 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this book is to address the use of several important machine learning techniques into computer vision applications. An innovative combination of computer vision and machine learning techniques has the promise of advancing the field of computer vision, which contributes to better understanding of complex real-world applications. The effective usage of machine learning technology in real-world computer vision problems requires understanding the domain of application, abstraction of a learning problem from a given computer vision task, and the selection of appropriate representations for the learnable (input) and learned (internal) entities of the system. In this book, we address all these important aspects from a new perspective: that the key element in the current computer revolution is the use of machine learning to capture the variations in visual appearance, rather than having the designer of the model accomplish this. As a bonus, models learned from large datasets are likely to be more robust and more realistic than the brittle all-design models.

Biomedical Imaging and Computational Modeling in Biomechanics

Author : Ugo Andreaus
Publisher : Springer Science & Business Media
ISBN 13 : 940074269X
Total Pages : 208 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Biomedical Imaging and Computational Modeling in Biomechanics by : Ugo Andreaus

Download or read book Biomedical Imaging and Computational Modeling in Biomechanics written by Ugo Andreaus and published by Springer Science & Business Media. This book was released on 2012-10-09 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects the state-of-art and new trends in image analysis and biomechanics. It covers a wide field of scientific and cultural topics, ranging from remodeling of bone tissue under the mechanical stimulus up to optimizing the performance of sports equipment, through the patient-specific modeling in orthopedics, microtomography and its application in oral and implant research, computational modeling in the field of hip prostheses, image based model development and analysis of the human knee joint, kinematics of the hip joint, micro-scale analysis of compositional and mechanical properties of dentin, automated techniques for cervical cell image analysis, and biomedical imaging and computational modeling in cardiovascular disease. The book will be of interest to researchers, Ph.D students, and graduate students with multidisciplinary interests related to image analysis and understanding, medical imaging, biomechanics, simulation and modeling, experimental analysis

Designing the Computational Image, Imagining Computational Design

Author : Daniel Cardoso Llach
Publisher : ORO Applied Research + Design
ISBN 13 : 9781954081345
Total Pages : 0 pages
Book Rating : 4.0/5 (813 download)

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Book Synopsis Designing the Computational Image, Imagining Computational Design by : Daniel Cardoso Llach

Download or read book Designing the Computational Image, Imagining Computational Design written by Daniel Cardoso Llach and published by ORO Applied Research + Design. This book was released on 2023-06 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the three decades following the Second World War, before the advent of the personal computer, government investment in university research in North America and the UK funded multidisciplinary projects to investigate the use of computers for manufacturing and design. Documenting the eponymous exhibition, Designing the Computational Image, Imagining Computational Design explores this period of remarkable inventiveness and traces its repercussions on architecture and other creative fields through the work of computational architects, designers, and artists working today. Alongside a compelling visual archive showcasing hundreds of unpublished or lesser-known computational images, drawings, films, and software, the book features essays by architecture, media, and science and technology scholars offering close readings of specific images, as well as conversations and interviews with historical protagonists and contemporary practitioners. Together, these materials illuminate in unprecedented detail the confluence of technical innovations in software, geometry, and hardware with a fledging technological imaginary of design and creativity, tracing the emergence -- and reimagining the potentials -- of a vibrant field of interdisciplinary research and practice.

Computational Radiology and Imaging

Author : Christoph Börgers
Publisher : Springer Science & Business Media
ISBN 13 : 1461215501
Total Pages : 293 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis Computational Radiology and Imaging by : Christoph Börgers

Download or read book Computational Radiology and Imaging written by Christoph Börgers and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: The articles collected in this volume are based on lectures given at the IMA Workshop, "Computational Radiology and Imaging: Therapy and Diagnostics", March 17-21, 1997. Introductory articles by the editors have been added. The focus is on inverse problems involving electromagnetic radiation and particle beams, with applications to X-ray tomography, nuclear medicine, near-infrared imaging, microwave imaging, electron microscopy, and radiation therapy planning. Mathematical and computational tools and models which play important roles in this volume include the X-ray transform and other integral transforms, the linear Boltzmann equation and, for near-infrared imaging, its diffusion approximation, iterative methods for large linear and non-linear least-squares problems, iterative methods for linear feasibility problems, and optimization methods. The volume is intended not only for mathematical scientists and engineers working on these and related problems, but also for non-specialists. It contains much introductory expository material, and a large number of references. Many unsolved computational and mathematical problems of substantial practical importance are pointed out.

Computational Imaging

Author : Ayush Bhandari
Publisher : MIT Press
ISBN 13 : 0262368374
Total Pages : 482 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Computational Imaging by : Ayush Bhandari

Computational Molecular Magnetic Resonance Imaging for Neuro-oncology

Author : Michael O. Dada
Publisher : Springer Nature
ISBN 13 : 3030767280
Total Pages : 412 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Computational Molecular Magnetic Resonance Imaging for Neuro-oncology by : Michael O. Dada

Download or read book Computational Molecular Magnetic Resonance Imaging for Neuro-oncology written by Michael O. Dada and published by Springer Nature. This book was released on 2021-07-31 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on the analytical methods and the computer programs presented in this book, all that may be needed to perform MRI tissue diagnosis is the availability of relaxometric data and simple computer program proficiency. These programs are easy to use, highly interactive and the data processing is fast and unambiguous. Laboratories (with or without sophisticated facilities) can perform computational magnetic resonance diagnosis with only T1 and T2 relaxation data. The results have motivated the use of data to produce data-driven predictions required for machine learning, artificial intelligence (AI) and deep learning for multidisciplinary and interdisciplinary research. Consequently, this book is intended to be very useful for students, scientists, engineers, the medical personnel and researchers who are interested in developing new concepts for deeper appreciation of computational magnetic resonance imaging for medical diagnosis, prognosis, therapy and management of tissue diseases.

Fourier Optics and Computational Imaging

Author : Kedar Khare
Publisher : Springer Nature
ISBN 13 : 3031183533
Total Pages : 295 pages
Book Rating : 4.0/5 (311 download)

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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 Springer Nature. This book was released on 2023-01-02 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computational Methods for Inverse Problems in Imaging

Author : Marco Donatelli
Publisher : Springer Nature
ISBN 13 : 3030328821
Total Pages : 171 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Computational Methods for Inverse Problems in Imaging by : Marco Donatelli

Download or read book Computational Methods for Inverse Problems in Imaging written by Marco Donatelli and published by Springer Nature. This book was released on 2019-11-26 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent mathematical methods in the area of inverse problems in imaging with a particular focus on the computational aspects and applications. The formulation of inverse problems in imaging requires accurate mathematical modeling in order to preserve the significant features of the image. The book describes computational methods to efficiently address these problems based on new optimization algorithms for smooth and nonsmooth convex minimization, on the use of structured (numerical) linear algebra, and on multilevel techniques. It also discusses various current and challenging applications in fields such as astronomy, microscopy, and biomedical imaging. The book is intended for researchers and advanced graduate students interested in inverse problems and imaging.

Foundations of Computational Imaging

Author : Charles A. Bouman
Publisher : SIAM
ISBN 13 : 1611977134
Total Pages : 350 pages
Book Rating : 4.6/5 (119 download)

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Book Synopsis Foundations of Computational Imaging by : Charles A. Bouman

Download or read book Foundations of Computational Imaging written by Charles A. Bouman and published by SIAM. This book was released on 2022-07-06 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Collecting a set of classical and emerging methods previously unavailable in a single resource, Foundations of Computational Imaging: A Model-Based Approach is the first book to define a common foundation for the mathematical and statistical methods used in computational imaging. The book brings together a blend of research with applications in a variety of disciplines, including applied math, physics, chemistry, optics, and signal processing, to address a collection of problems that can benefit from a common set of methods. Readers will find basic techniques of model-based image processing, a comprehensive treatment of Bayesian and regularized image reconstruction methods, and an integrated treatment of advanced reconstruction techniques, such as majorization, constrained optimization, alternating direction method of multipliers (ADMM), and Plug-and-Play methods for model integration. Foundations of Computational Imaging can be used in courses on model-based or computational imaging, advanced numerical analysis, data science, numerical optimization, and approximation theory. It will also prove useful to researchers or practitioners in medical, scientific, commercial, and industrial imaging.

Variational Methods in Image Processing

Author : Luminita A. Vese
Publisher : CRC Press
ISBN 13 : 1439849749
Total Pages : 416 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Variational Methods in Image Processing by : Luminita A. Vese

Download or read book Variational Methods in Image Processing written by Luminita A. Vese and published by CRC Press. This book was released on 2015-11-18 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Variational Methods in Image Processing presents the principles, techniques, and applications of variational image processing. The text focuses on variational models, their corresponding Euler-Lagrange equations, and numerical implementations for image processing. It balances traditional computational models with more modern techniques that solve t

Computational Modelling and Imaging for SARS-CoV-2 and COVID-19

Author : S. Prabha
Publisher : CRC Press
ISBN 13 : 1000439372
Total Pages : 144 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Computational Modelling and Imaging for SARS-CoV-2 and COVID-19 by : S. Prabha

Download or read book Computational Modelling and Imaging for SARS-CoV-2 and COVID-19 written by S. Prabha and published by CRC Press. This book was released on 2021-09-02 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to present new computational techniques and methodologies for the analysis of the clinical, epidemiological and public health aspects of SARS-CoV-2 and COVID-19 pandemic. The book presents the use of soft computing techniques such as machine learning algorithms for analysis of the epidemiological aspects of the SARS-CoV-2. This book clearly explains novel computational image processing algorithms for the detection of COVID-19 lesions in lung CT and X-ray images. It explores various computational methods for computerized analysis of the SARS-CoV-2 infection including severity assessment. The book provides a detailed description of the algorithms which can potentially aid in mass screening of SARS-CoV-2 infected cases. Finally the book also explains the conventional epidemiological models and machine learning techniques for the prediction of the course of the COVID-19 epidemic. It also provides real life examples through case studies. The book is intended for biomedical engineers, mathematicians, postgraduate students; researchers; medical scientists working on identifying and tracking infectious diseases.

Computational Imaging for Scene Understanding

Author : Takuya Funatomi
Publisher : John Wiley & Sons
ISBN 13 : 1789451507
Total Pages : 356 pages
Book Rating : 4.7/5 (894 download)

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Book Synopsis Computational Imaging for Scene Understanding by : Takuya Funatomi

Download or read book Computational Imaging for Scene Understanding written by Takuya Funatomi and published by John Wiley & Sons. This book was released on 2024-05-21 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most cameras are inherently designed to mimic what is seen by the human eye: they have three channels of RGB and can achieve up to around 30 frames per second (FPS). However, some cameras are designed to capture other modalities: some may have the ability to capture spectra from near UV to near IR rather than RGB, polarimetry, different times of light travel, etc. Such modalities are as yet unknown, but they can also collect robust data of the scene they are capturing. This book will focus on the emerging computer vision techniques known as computational imaging. These include capturing, processing and analyzing such modalities for various applications of scene understanding.