Computational Imaging

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Computational Imaging

Ayush Bhandari,Achuta Kadambi,Ramesh Raskar
Computational Imaging Book PDF

Author : Ayush Bhandari,Achuta Kadambi,Ramesh Raskar
Publisher : MIT Press
Page : 482 pages
File Size : 51,9 Mb
Release : 2022-10-25
Category : Technology & Engineering
ISBN : 9780262046473

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Computational Imaging by Ayush Bhandari,Achuta Kadambi,Ramesh Raskar Pdf

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.

Computational Photography

Rastislav Lukac
Computational Photography Book PDF

Author : Rastislav Lukac
Publisher : CRC Press
Page : 564 pages
File Size : 41,8 Mb
Release : 2017-12-19
Category : Computers
ISBN : 9781439817506

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Computational Photography by Rastislav Lukac Pdf

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.

Fourier Optics and Computational Imaging

Kedar Khare
Fourier Optics and Computational Imaging Book PDF

Author : Kedar Khare
Publisher : John Wiley & Sons
Page : 312 pages
File Size : 43,7 Mb
Release : 2015-09-21
Category : Technology & Engineering
ISBN : 9781118900345

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Fourier Optics and Computational Imaging by Kedar Khare Pdf

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.

Fourier Optics and Computational Imaging

Kedar Khare,Mansi Butola,Sunaina Rajora
Fourier Optics and Computational Imaging Book PDF

Author : Kedar Khare,Mansi Butola,Sunaina Rajora
Publisher : Springer Nature
Page : 295 pages
File Size : 50,8 Mb
Release : 2023-01-02
Category : Technology & Engineering
ISBN : 9783031183539

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Fourier Optics and Computational Imaging by Kedar Khare,Mansi Butola,Sunaina Rajora Pdf

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 Imaging

Ayush Bhandari,Achuta Kadambi,Ramesh Raskar
Computational Imaging Book PDF

Author : Ayush Bhandari,Achuta Kadambi,Ramesh Raskar
Publisher : MIT Press
Page : 482 pages
File Size : 47,7 Mb
Release : 2022-10-25
Category : Technology & Engineering
ISBN : 9780262368377

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Computational Imaging by Ayush Bhandari,Achuta Kadambi,Ramesh Raskar Pdf

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.

Statistical and Computational Methods in Brain Image Analysis

Moo K. Chung
Statistical and Computational Methods in Brain Image Analysis Book PDF

Author : Moo K. Chung
Publisher : CRC Press
Page : 436 pages
File Size : 40,5 Mb
Release : 2013-07-23
Category : Mathematics
ISBN : 9781439836354

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Statistical and Computational Methods in Brain Image Analysis by Moo K. Chung Pdf

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.

Foundations of Computational Imaging

Charles A. Bouman
Foundations of Computational Imaging Book PDF

Author : Charles A. Bouman
Publisher : SIAM
Page : 350 pages
File Size : 43,7 Mb
Release : 2022-07-06
Category : Mathematics
ISBN : 9781611977134

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Foundations of Computational Imaging by Charles A. Bouman Pdf

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.

Computational Imaging for Scene Understanding

Takuya Funatomi,Takahiro Okabe
Computational Imaging for Scene Understanding Book PDF

Author : Takuya Funatomi,Takahiro Okabe
Publisher : John Wiley & Sons
Page : 356 pages
File Size : 48,6 Mb
Release : 2024-05-21
Category : Computers
ISBN : 9781789451504

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Computational Imaging for Scene Understanding by Takuya Funatomi,Takahiro Okabe Pdf

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.

Computational Imaging and Analytics in Biomedical Engineering

T. R. Ganesh Babu,U. Saravanakumar,Balachandra Pattanaik
Computational Imaging and Analytics in Biomedical Engineering Book PDF

Author : T. R. Ganesh Babu,U. Saravanakumar,Balachandra Pattanaik
Publisher : CRC Press
Page : 356 pages
File Size : 53,5 Mb
Release : 2024-07-26
Category : Computers
ISBN : 9781003830177

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Computational Imaging and Analytics in Biomedical Engineering by T. R. Ganesh Babu,U. Saravanakumar,Balachandra Pattanaik Pdf

This new book focuses on mathematical and numerical methods for medical images and data. The book presents the various mathematical modeling techniques, numerical analysis, computing and computational techniques, and applications of machine learning for medical images and medical informatics. It also focuses on programming concepts using MATLAB and Phython for medical image and signal analytics. The volume demonstrates the use of computational techniques and tools such as machine learning, deep neural networks, artificial intelligence and human-computer interaction ,fusion methods for CT and pet images, etc., for diagnosis of brain disorders, cervical cancer, lung disease, melanoma, atrial fibrillation and other circulatory issues, dental images, diabetes, and other medical issues.

Geometry, Morphology, and Computational Imaging

Tetsuo Asano,Reinhard Klette
Geometry Morphology and Computational Imaging Book PDF

Author : Tetsuo Asano,Reinhard Klette
Publisher : Springer Science & Business Media
Page : 449 pages
File Size : 49,9 Mb
Release : 2003-04-08
Category : Computers
ISBN : 9783540009160

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Geometry, Morphology, and Computational Imaging by Tetsuo Asano,Reinhard Klette Pdf

This book constitutes the thoroughly refereed post-proceedings of the 11th International Workshop on Theoretical Foundations of Computer Vision, held in Dagstuhl Castle, Germany in April 2002. The 27 revised full papers presented went through two rounds of reviewing and improvement and assess the state of the art in geometry, morphology, and computational imaging. The papers are organized in sections on geometry - models and algorithms; property measurement in the grid and on finite samples; features, shape, and morphology; and computer vision and scene analysis.

Computational Intelligence in Medical Imaging

G. Schaefer,A. Hassanien,J. Jiang
Computational Intelligence in Medical Imaging Book PDF

Author : G. Schaefer,A. Hassanien,J. Jiang
Publisher : CRC Press
Page : 504 pages
File Size : 52,8 Mb
Release : 2009-03-24
Category : Computers
ISBN : 1420060619

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Computational Intelligence in Medical Imaging by G. Schaefer,A. Hassanien,J. Jiang Pdf

CI Techniques & Algorithms for a Variety of Medical Imaging Situations Documents recent advances and stimulates further research A compilation of the latest trends in the field, Computational Intelligence in Medical Imaging: Techniques and Applications explores how intelligent computing can bring enormous benefit to existing technology in medical image processing as well as improve medical imaging research. The contributors also cover state-of-the-art research toward integrating medical image processing with artificial intelligence and machine learning approaches. The book presents numerous techniques, algorithms, and models. It describes neural networks, evolutionary optimization techniques, rough sets, support vector machines, tabu search, fuzzy logic, a Bayesian probabilistic framework, a statistical parts-based appearance model, a reinforcement learning-based multistage image segmentation algorithm, a machine learning approach, Monte Carlo simulations, and intelligent, deformable models. The contributors discuss how these techniques are used to classify wound images, extract the boundaries of skin lesions, analyze prostate cancer, handle the inherent uncertainties in mammographic images, and encapsulate the natural intersubject anatomical variance in medical images. They also examine prostate segmentation in transrectal ultrasound images, automatic segmentation and diagnosis of bone scintigraphy, 3-D medical image segmentation, and the reconstruction of SPECT and PET tomographic images.

Computational Radiology and Imaging

Christoph Börgers,Frank Natterer
Computational Radiology and Imaging Book PDF

Author : Christoph Börgers,Frank Natterer
Publisher : Springer Science & Business Media
Page : 293 pages
File Size : 51,5 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461215509

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Computational Radiology and Imaging by Christoph Börgers,Frank Natterer Pdf

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 Molecular Magnetic Resonance Imaging for Neuro-oncology

Michael O. Dada,Bamidele O. Awojoyogbe
Computational Molecular Magnetic Resonance Imaging for Neuro oncology Book PDF

Author : Michael O. Dada,Bamidele O. Awojoyogbe
Publisher : Springer Nature
Page : 412 pages
File Size : 50,5 Mb
Release : 2021-07-31
Category : Science
ISBN : 9783030767280

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Computational Molecular Magnetic Resonance Imaging for Neuro-oncology by Michael O. Dada,Bamidele O. Awojoyogbe Pdf

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.

Natural Image Statistics

Aapo Hyvärinen,Jarmo Hurri,Patrick O. Hoyer
Natural Image Statistics Book PDF

Author : Aapo Hyvärinen,Jarmo Hurri,Patrick O. Hoyer
Publisher : Springer Science & Business Media
Page : 450 pages
File Size : 46,8 Mb
Release : 2009-04-21
Category : Medical
ISBN : 9781848824911

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Natural Image Statistics by Aapo Hyvärinen,Jarmo Hurri,Patrick O. Hoyer Pdf

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

Nicu Sebe,Ira Cohen,Ashutosh Garg,Thomas S. Huang
Machine Learning in Computer Vision Book PDF

Author : Nicu Sebe,Ira Cohen,Ashutosh Garg,Thomas S. Huang
Publisher : Springer Science & Business Media
Page : 242 pages
File Size : 41,9 Mb
Release : 2006-03-30
Category : Computers
ISBN : 9781402032752

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Machine Learning in Computer Vision by Nicu Sebe,Ira Cohen,Ashutosh Garg,Thomas S. Huang Pdf

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.