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Digital Image Forensics
by Husrev Taha Sencar Nasir MemonPhotographic imagery has come a long way from the pinhole cameras of the nineteenth century. Digital imagery, and its applications, develops in tandem with contemporary society's sophisticated literacy of this subtle medium. This book examines the ways in which digital images have become ever more ubiquitous as legal and medical evidence, just as they have become our primary source of news and have replaced paper-based financial documentation. Crucially, the contributions also analyze the very profound problems which have arisen alongside the digital image, issues of veracity and progeny that demand systematic and detailed response: It looks real, but is it? What camera captured it? Has it been doctored or subtly altered? Attempting to provide answers to these slippery issues, the book covers how digital images are created, processed and stored before moving on to set out the latest techniques for forensically examining images, and finally addressing practical issues such as courtroom admissibility. In an environment where even novice users can alter digital media, this authoritative publication will do much so stabilize public trust in these real, yet vastly flexible, images of the world around us.
Digital Image Forensics: Theory and Implementation (Studies in Computational Intelligence #755)
by Rajat Subhra Chakraborty Aniket Roy Rahul Dixit Ruchira NaskarThis book discusses blind investigation and recovery of digital evidence left behind on digital devices, primarily for the purpose of tracing cybercrime sources and criminals. It presents an overview of the challenges of digital image forensics, with a specific focus on two of the most common forensic problems. The first part of the book addresses image source investigation, which involves mapping an image back to its camera source to facilitate investigating and tracing the source of a crime. The second part of the book focuses on image-forgery detection, primarily focusing on “copy-move forgery” in digital images, and presenting effective solutions to copy-move forgery detection with an emphasis on additional related challenges such as blur-invariance, similar genuine object identification, etc. The book concludes with future research directions, including counter forensics. With the necessary mathematical information in every chapter, the book serves as a useful reference resource for researchers and professionals alike. In addition, it can also be used as a supplementary text for upper-undergraduate and graduate-level courses on “Digital Image Processing”, “Information Security”, “Machine Learning”, “Computer Vision” and “Multimedia Security and Forensics”.
Digital Image Interpolation in Matlab (Wiley - IEEE)
by Wing-Shan Tam Chi-Wah KokThis book provides a comprehensive study in digital image interpolation with theoretical, analytical and Matlab® implementation. It includes all historically and practically important interpolation algorithms, accompanied with Matlab® source code on a website, which will assist readers to learn and understand the implementation details of each presented interpolation algorithm. Furthermore, sections in fundamental signal processing theories and image quality models are also included. The authors intend for the book to help readers develop a thorough consideration of the design of image interpolation algorithms and applications for their future research in the field of digital image processing. Introduces a wide range of traditional and advanced image interpolation methods concisely and provides thorough treatment of theoretical foundations Discusses in detail the assumptions and limitations of presented algorithms Investigates a variety of interpolation and implementation methods including transform domain, edge-directed, wavelet and scale-space, and fractal based methods Features simulation results for comparative analysis, summaries and computational and analytical exercises at the end of each chapter Digital Image Interpolation in Matlab® is an excellent guide for researchers and engineers working in digital imaging and digital video technologies. Graduate students studying digital image processing will also benefit from this practical reference text.
Digital Image Processing
by Shriram K Vasudevan A Baskar Muthaiah Rajappa T S MurugeshThe book provides a mix of theoretical and practical perceptions of the related concepts pertaining to image processing. The primary objectives are to offer an overview to the elementary concepts and practices appropriate to digital image processing as well as to provide theoretical exposition. It starts with an expanded coverage of the fundamentals to provide a more comprehensive and cohesive coverage of the topics including but not limited to: Applications and tools for image processing, and fundamentals with several implementation examples Concepts of image formation OpenCV installation with step-by-step screen shots Concepts behind intensity, brightness and contrast, color models Ways by which noises are created in an image and the possible remedial measures Edge detection, image segmentation, classification, regression, classification algorithms Importance of frequency domain in image processing field Relevant code snippets and the MATLAB® codes, and several interesting sets of simple programs in OpenCV and Python to aid learning and for complete understanding The video lectures for specific topics through YouTube enable easy inference for the readers to apply the learnt theory into practice. The addition of contents at the end of each chapter such as quizzes and review questions fully prepare the readers for further study. Graduate students, post graduate students, researchers, and anyone in general interested in image processing, computer vision, machine learning domains etc. can find this book an excellent starting point for information and an able ally.
Digital Image Processing
by D. SundararajanThis book offers readers an essential introduction to the fundamentals of digital image processing. Pursuing a signal processing and algorithmic approach, it makes the fundamentals of digital image processing accessible and easy to learn. It is written in a clear and concise manner with a large number of 4 x 4 and 8 x 8 examples, figures and detailed explanations. Each concept is developed from the basic principles and described in detail with equal emphasis on theory and practice. The book is accompanied by a companion website that provides several MATLAB programs for the implementation of image processing algorithms. The book also offers comprehensive coverage of the following topics: Enhancement, Transform processing, Restoration, Registration, Reconstruction from projections, Morphological image processing, Edge detection, Object representation and classification, Compression, and Color processing.
Digital Image Processing and Analysis: Computer Vision and Image Analysis
by Scott E UmbaughComputer Vision and Image Analysis, focuses on techniques and methods for image analysis and their use in the development of computer vison applications. The field is advancing at an ever increasing pace, with applications ranging from medical diagnostics to space exploration. The diversity of applications is one of the driving forces that make it such an exciting field to be involved in for the 21st century. This book presents a unique engineering approach to the practice of computer vision and image analysis, which starts by presenting a global model to help gain an understanding of the overall process, followed by a breakdown and explanation of each individual topic. Topics are presented as they become necessary for understanding the practical imaging model under study, which provides the reader with the motivation to learn about and use the tools and methods being explored. The book includes chapters on image systems and software, image analysis, edge, line and shape detection, image segmentation, feature extraction and pattern classification. Numerous examples, including over 500 color images are used to illustrate the concepts discussed. Readers can explore their own application development with any programming languages, including C/C++, MATLAB®, Python, and R, and software is provided for both the Windows/C/C++ and MATLAB®environments. The book can be used by the academic community in teaching and research, with over 700 PowerPoint Slides and a complete Solutions Manual to the over 150 included problems. It can also be used for self-study by those involved with developing computer vision applications, whether they are engineers, scientists or artists. The new edition has been extensively updated and includes numerous problems and programming exercises that will help the reader and student to develop their skills.
Digital Image Processing for Medical Applications
by Geoff DoughertyImage processing is a hands-on discipline, and the best way to learn is by doing. This text takes its motivation from medical applications and uses real medical images and situations to illustrate and clarify concepts and to build intuition, insight and understanding. Designed for advanced undergraduates and graduate students who will become end-users of digital image processing, it covers the basics of the major clinical imaging modalities, explaining how the images are produced and acquired. It then presents the standard image processing operations, focusing on practical issues and problem solving. Crucially, the book explains when and why particular operations are done, and practical computer-based activities show how these operations affect real images. All images, links to the public-domain software ImageJ and custom plug-ins, and selected solutions are available from www. cambridge. org/books/dougherty.
Digital Image Processing using SCILAB
by Rohit M. Thanki Ashish M. KothariThis book provides basic theories and implementations using SCILAB open-source software for digital images. The book simplifies image processing theories and well as implementation of image processing algorithms, making it accessible to those with basic knowledge of image processing. This book includes many SCILAB programs at the end of each theory, which help in understanding concepts. The book includes more than sixty SCILAB programs of the image processing theory. In the appendix, readers will find a deeper glimpse into the research areas in the image processing.
Digital Image Processing with C++: Implementing Reference Algorithms with the CImg Library
by David Tschumperle Christophe Tilmant Vincent BarraDigital Image Processing with C++ presents the theory of digital image processing, and implementations of algorithms using a dedicated library. Processing a digital image means transforming its content (denoising, stylizing, etc.), or extracting information to solve a given problem (object recognition, measurement, motion estimation, etc.). This book presents the mathematical theories underlying digital image processing, as well as their practical implementation through examples of algorithms implemented in the C++ language, using the free and easy-to-use CImg library. Chapters cover in a broad way the field of digital image processing and proposes practical and functional implementations of each method theoretically described. The main topics covered include filtering in spatial and frequency domains, mathematical morphology, feature extraction and applications to segmentation, motion estimation, multispectral image processing and 3D visualization. Students or developers wishing to discover or specialize in this discipline, teachers and researchers wishing to quickly prototype new algorithms, or develop courses, will all find in this book material to discover image processing or deepen their knowledge in this field.
Digital Image Processing, Analysis and Computer Vision Using Nonlinear Partial Differential Equations (Studies in Computational Intelligence #1211)
by Tudor BarbuThis book provides an overview of the applications of partial differential equations (PDEs) to image processing, analysis, and computer vision domains, focusing mainly on the most important contributions of the author in these closely related fields. It addresses almost all the PDE-based image processing and analysis areas, and the connections between partial differential equations, computer vision, and artificial intelligence: PDE-based image filtering, inpainting, compression, segmentation, content-based recognition, indexing and retrieval, and video object detection and tracking, energy-based (variational) and nonlinear diffusion-based models of second and fourth order, nonlinear PDE-based scale-spaces in combination to convolutional neural networks and high-level descriptors to perform edge and feature extraction.
Digital Image Processing: An Algorithmic Approach with MATLAB (Chapman & Hall/CRC Textbooks in Computing)
by Uvais Qidwai C.H. ChenAvoiding heavy mathematics and lengthy programming details, Digital Image Processing: An Algorithmic Approach with MATLAB presents an easy methodology for learning the fundamentals of image processing. The book applies the algorithms using MATLAB, without bogging down students with syntactical and debugging issues.One chapter can typically be compl
Digital Image Processing: Practical Approach (SpringerBriefs in Computer Science)
by Borko Furht Esad Akar Whitney Angelica AndrewsThe SpringerBrief covers fundamentals of digital image processing including image concept, image file formats, creating user interfaces and many practical examples of processing images using C++ and Java. These practical examples include among other creating image histograms, performing lossless image compression, detecting change in colors, similarity-based image retrieval and others. All practical examples are accompanied with an explanation how to create programs and the obtained results. This SpringerBrief can be very useful for the undergraduate courses on image processing, providing students with the basic tools in image analysis and processing. Practitioners and researchers working in this field will also find this research useful.
Digital Image Security: Techniques and Applications
by Amit Kumar Singh Stefano Berretti Ashima Anand Amrit Kumar AgrawalThis book will highlight cutting-edge research with a particular emphasis on interdisciplinary approaches, novel techniques, and solutions to provide digital image security for applications in diverse areas. It further discusses important topics such as biometric imaging, big data security and privacy in healthcare, security and privacy in the internet of things, and security in cloud-based image processing.This book Presents new ideas, approaches, theories, and practices with a focus on digital image security and privacy solutions for real-world applications. Discusses security in cloud-based image processing for smart city applications. Provides an overview of innovative security techniques that are being developed to ensure the guaranteed authenticity of transmitted, shared, or stored digital images. Highlights approaches such as watermarking, blockchain, and hashing. to secure digital images in artificial intelligence, machine learning, cloud computing, and temper detection environments. Explains important topics such as biometric imaging, blockchain for digital data security, and protection systems against personal identity theft. It will serve as an ideal reference text for senior undergraduate, graduate students, academic researchers, and professionals in the fields including electrical engineering, electronics, communications engineering, and computer engineering.
Digital Image Sequence Processing, Compression, and Analysis (Computer Engineering Ser.)
by Todd R. ReedDigital image sequences (including digital video) are increasingly common and important components in technical applications ranging from medical imaging and multimedia communications to autonomous vehicle navigation. The immense popularity of DVD video and the introduction of digital television make digital video ubiquitous in the consumer domain.
Digital Image Watermarking: Theoretical and Computational Advances (Intelligent Signal Processing and Data Analysis)
by Nilanjan Dey Rohit Thanki Surekha BorraThe Book presents an overview of newly developed watermarking techniques in various independent and hybrid domains <P><P>Covers the basics of digital watermarking, its types, domain in which it is implemented and the application of machine learning algorithms onto digital watermarking <P><P>Reviews hardware implementation of watermarking <P><P>Discusses optimization problems and solutions in watermarking with a special focus on bio-inspired algorithms <P><P>Includes a case study along with its MATLAB code and simulation results
Digital Image and Signal Processing for Measurement Systems (River Publishers Series In Information Science And Technology Ser.)
by Richard J. Duro Fernando L´opez-Pe˜naThis book provides an overview of advanced digital image and signal processing techniques that are currently being applied in the realm of measurement systems. The book is a selection of extended versions of the best papers presented at the Sixth IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications IDAACS 2011 related to this topic and encompass applications that go from multidimensional imaging to evoked potential detection in brain computer interfaces. The objective was to provide a broad spectrum of measurement applications so that the different techniques and approaches could be presented.Digital Image and Signal Processing for Measurement Systems concentrates on signal processing for measurement systems and its objective is to provide a general overview of the area and an appropriate introduction to the topics considered. This is achieved through 10 chapters devoted to current topics of research addressed by different research groups within this area. These 10 chapters reflect advances corresponding to signals of different dimensionality. They go from mostly one dimensional signals in what would be the most traditional area of signal processing realm to RGB signals and to signals of very high dimensionality such as hyperspectral signals that can go up to dimensionalities of more than one thousand. The chapters have been thought out to provide an easy to follow introduction to the topics that are addressed, including the most relevant references, so that anyone interested in this field can get started in the area. They provide an overview of some of the problems in the area of signal and image processing for measurement systems and the approaches and techniques that relevant research groups within this area are employing to try to solve them which, in many instances are the state of the art of some of these topics.
Digital Images and Art Libraries in the Twenty-First Century
by Susan WyngaardIncrease your knowledge of the digital technology that is essential for art librarianship today! Digital Images and Art Libraries in the Twenty-First Century is your key to cutting-edge discourse on digital image databases and art libraries. Just as early photographers tried to capture the world to make it accessible, now information professionals in art libraries and art museums are creating and sharing digital collections to make them broadly accessible. This collection shares the experience and insight of art information managers who have taken advantage of digital technology to expand the coverage and scope of image collections and improve access to previously difficult-to-locate information. In Digital Images and Art Libraries in the Twenty-First Century you will learn step-by-step what goes into the planning and creation of these "digital global museums" and what advances are still being made in this rapidly evolving discipline. The pros and cons of these ventures are thoroughly examined, as experts take you through the theoretical and practical issues they have faced along the way. Digital Images and Art Libraries in the Twenty-First Century will help you gain a better understanding of: image censorship Web filters user expectations the comparative impact on the viewer of surrogate images versus artifacts databases as an in-class teaching and learning tool You can also read in-depth about the existing digital image collections ArtSTOR and OhioLINK Digital Media Center (DMC) as well as the specific art library materials being considered for these collections. Find out what it takes to catalogue these materials and how the proliferation of digital images is changing the profession of art librarianship. Digital Images and Art Libraries in the Twenty-First Century is a thorough and highly specialized book suitable for expert librarians and visual resource curators, but its straightforward style also makes it suitable for beginners and students interested in library and information science programs.
Digital Imaging Primer
by Alan ParkinDigital Imaging targets anyone with an interest in digital imaging, professional or private, who uses even quite modest equipment such as a PC, digital camera and scanner, a graphics editor such as PAINT, and an inkjet printer. Uniquely, it is intended to fill the gap between the highly technical texts for academics (with access to expensive equipment), and the superficial introductions for amateurs. The four-part treatment spans theory, technology, programs and practice. Theory covers integer arithmetic, additive and subtractive color, greyscales, computational geometry, and a new presentation of discrete Fourier analysis; Technology considers bitmap file structures, scanners, digital cameras, graphic editors, and inkjet printers; Programs develops several processing tools for use in conjunction with a standard Paint graphics editor and supplementary processing tools; Practice discusses 1-bit, greyscale, 4-bit, 8-bit, and 24-bit images for the practice section. Relevant QBASIC code is supplied an accompanying CD and algorithms are listed in the appendix. Readers can attain a level of understanding and the practical insights to obtain optimal use and satisfaction from even the most basic digital-imaging equipment.
Digital Imaging and Communications in Medicine (DICOM)
by Oleg S. PianykhThis is the second edition of a very popular book on DICOM that introduces this complex standard from a very practical point of view. It is aimed at a broad audience of radiologists, clinical administrators, information technologists, medical students, and lecturers. The book provides a gradual, down to earth introduction to DICOM, accompanied by an analysis of the most common problems associated with its implementation. Compared with the first edition, many improvements and additions have been made, based on feedback from readers. Whether you are running a teleradiology project or writing DICOM software, this book will provide you with clear and helpful guidance. It will prepare you for any DICOM projects or problem solving, and assist you in taking full advantage of multifaceted DICOM functionality.
Digital Imaging for Cultural Heritage Preservation: Analysis, Restoration, and Reconstruction of Ancient Artworks (Digital Imaging and Computer Vision)
by Filippo StancoThis edition presents the most prominent topics and applications of digital image processing, analysis, and computer graphics in the field of cultural heritage preservation. The text assumes prior knowledge of digital image processing and computer graphics fundamentals. Each chapter contains a table of contents, illustrations, and figures that elucidate the presented concepts in detail, as well as a chapter summary and a bibliography for further reading. Well-known experts cover a wide range of topics and related applications, including spectral imaging, automated restoration, computational reconstruction, digital reproduction, and 3D models.
Digital Impact
by Vipin Mayar Geoff RamseyWin online by attracting the right customers and getting the right performance measurementDigital Impact answers the critical questions marketers have about connecting with and influencing consumers online. Written in an easy-to-read, approachable format, this helpful guide presents provocative content along with practical, commonsense methods that can be followed by any businessperson at companies of all sizes. The discussion hones in on two keys to success: building a performance measurement approach that will let you get maximum impact out of your online marketing and ad dollars, and creating magnetic content that attracts customers and keeps them engaged with your brand.Leverage trust and build ROI in social media and mobile spacesGet actionable data, best practices, cases studies, anecdotes, practical coaching tips and strategic insightsEngage customers who typically resist advertising messagesLearn from authors who have extensive experience across major industries and accounts, giving them a wide business appealWhether your budget is corporate-sized or on a shoestring, you'll want to achieve the measurable bottom-line improvements that come with having Digital Impact.
Digital Impact: The Human Element of AI-Driven Transformation
by Steve LucasUse technology to connect systems and data to change the world for the better In Digital Impact: The Human Element of AI-Driven Transformation, Steve Lucas, a three-time CEO, discusses how organizations can integrate and automate systems to create incredible outcomes that benefit people. Lucas explains how this becomes possible when businesses solve the ubiquitous problems of digital fragmentation and data complexity, which have become even more pressing with the rise of artificial intelligence. Using real-world customer stories as examples and writing in non-technical language that will appeal to every reader, this book shows how organizations are succeeding in missions like providing aid after natural disasters, growing food more sustainably, and ensuring students have access to everything they need on college campuses—all powered by connected technology. Inspiring stories explored in this book include: How a chocolate company is working to end child labor in the cocoa-growing process in West Africa How a well-known charitable organization provides aid and services for people in need How a credit union helps members make better financial decisions for their families For business leaders across industries, Digital Impact serves as an essential blueprint to unleash an organization's full potential for doing good by digitally transforming its technology architectures through integration and automation.
Digital India: Reflections and Practice (Advances in Theory and Practice of Emerging Markets #10595)
by Arpan Kumar Kar M. P. Gupta Shuchi SinhaThis book offers a multidisciplinary resource on digital government, while specifically focusing on its role within the emerging market of India. The Government of India (GoI) is concentrating on transforming India under the Digital India initiative. In order to do so, it has emphasized three core areas: (1) Computing infrastructure as a utility to every citizen; (2) Governance and services on demand; and (3) Digital empowerment of citizens. The chapters in this book address issues surrounding these areas, highlighting concepts such as knowledge societies, urban operations and logistics, issues in managing emergent Information Communication Technologies (ICTs), and also smart analytics for urbanization. The chapters contribute to the theory, practice and policy for a “Digital India.” The book captures lessons, knowledge, experiences (about challenges, drivers, antecedents, etc.) and best practices emerging from implementation of various projects. While the book is dedicated to a “Digital India,” this book can also be valuable resource for public administrators, government officials and researchers in other emerging markets and developing countries in Asia, Africa and Latin America where similar socio-political and economic conditions exist.
Digital Influence: Unleash the Power of Influencer Marketing to Accelerate Your Global Business
by Peter Shankman Joel BackalerThis book brings order to the chaotic and rapidly evolving world of influencer marketing by providing readers with much needed context, frameworks, and best practices. Written for busy marketing professionals working in both domestic and international markets, it addresses these topics in a highly actionable and engaging manner. Digital Influence covers everything from how to identify the right influencers and determine “level of influence” to collaborating with influencers and measuring ROI. It turns out, it’s not all about paying online celebrities outrageous sums to post sponsored content. Backaler also provides much-needed context for why influencer marketing is flourishing today, and perspective into what a more technologically-enabled, globally-connected future will look like. Ultimately, people want to learn from trusted peers, not faceless companies. Better than any corporate marketing function, influencers understand how to make best use of social media platforms and tailor content for their respective cultures to engage consumers in their home markets. Business leaders should arm themselves with Backaler's book to ensure they're not left behind.
Digital Information and Knowledge Management: New Opportunities for Research Libraries
by Sul H. LeeDigital Information and Knowledge Management examines how academic librarians can use knowledge management to provide an increasing amount of electronic information to an expanding user base. Several of the country’s leading library administrators analyze these vital issues from the perspectives of both information providers and library users, exploring the challenges of selecting and managing electronic information and resources, making the most of knowledge management, and improving digital access to their users. Electronic resources have given the library new roles to fill and created a demand for librarians skilled in the acquisition, retrieval, and dissemination of digital information. Libraries and librarians have met the challenges presented by digital resources and have moved from building collections of print materials into the growing field of knowledge management. Digital Information and Knowledge Management offers insights into how librarians are making that transition to enhance the resources and services they can offer library users. Topics examined in Digital Information and Knowledge Management include: cooperative collection development the balance of print and electronic resources the evolution of digital resources in libraries the concept of knowledge management changes in research libraries knowledge management in academic libraries factors that influence the selection of electronic resources disseminating information about scholarly collections the need for a standardized method of information presentation successful approaches to managing digital information the digitalization of collections and historical materials how to maintain the connections between academic disciplines and libraries and much more!Digital Information and Knowledge Management is an essential professional resource for senior- and mid-level library administrators, and for acquisitions, reference, and collections librarians.