Forensic Digital Image Processing

Douglas Engelbart There has been much discussion in recent years with regard to image integrity and authentication as it applies to digital imaging, sparked by the massive movement in the forensic discipline over the last two decades ...

Author: Brian Dalrymple

Publisher: CRC Press

ISBN: 9781351112215

Category: Law

Page: 227

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The digital revolution over the past several decades has advanced every facet of evidence detection, photography, optimization, and interpretation. Forensic scientists and practitioners have benefited tremendously from the move from film to digital. With proper procedures in place, digital images and casework capabilities have increased tremendously in both complexity and range due to a vast array of tools to enhance evidence and photography. Forensic Digital Image Processing: Optimization of Impression Evidence provides the forensic investigator with the tools and understanding to extract, optimize, and interpret the maximum evidence possible from crime scenes to increase identifications. The book begins by examining the emergence of forensic digital image processing, and the gradual improvement and acceptance of the science over the past four decades. Coverage includes looking at the issues of image integrity and authentication including forensic image optimization and the manipulation of images. Chapters explore techniques exploiting color theory, modes, and channels to optimize signal-to-noise ratio in images. One of the greatest assets of digital image technology is the ability to combine multiple images of the same subject to create a final, blended image: one that displays the desired evidence and is especially useful for fingerprint or footwear impression. Later chapters demonstrate image subtraction, focus stacking, and high dynamic range, utilizing images in optimum focus and with substrate interference diminished or removed entirely. The authors look at fast Fourier transform as an optimal tool for noise removal, addressing basic theory and diagnosis of the noise signatures. The book discusses the history of digital imaging techniques and their treatment within the court system. Forensic Digital Image Processing: Optimization of Impression Evidence serves as an invaluable resource and tool for practicing professionals–as well as those new to the field—to look at best practices, the latest technology, and advances in utilizing the increasing array of tools of the trade.

Digital Image Forensics

This framework is interpreted and extended to encompass the requirements to forensic analyses in practice in Sect.3, including a discussion of the notion of authenticity in the presence of legitimate processing, and the role of image ...

Author: Husrev Taha Sencar

Publisher: Springer Science & Business Media

ISBN: 9781461407577

Category: Technology & Engineering

Page: 372

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Photographic 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.

Handbook of Research on Computational Forensics Digital Crime and Investigation Methods and Solutions

Dehnie, S., Sencar, H.T., & Memon, N. (2006). Identification of computer generated and digital camera images for digital image forensics. In IEEE International Conference on Image Processing. Dirik, A. E., Bayram, S., Sencar, H. T., ...

Author: Li, Chang-Tsun

Publisher: IGI Global

ISBN: 9781605668376

Category: Business & Economics

Page: 620

View: 232

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"This book provides a media for advancing research and the development of theory and practice of digital crime prevention and forensics, embracing a broad range of digital crime and forensics disciplines"--Provided by publisher.

Handbook of Digital Forensics of Multimedia Data and Devices Enhanced E Book

2.3.5.5 Information Security and Forensic Society (ISFS) Hong Kong 'Computer Forensics Part 2: Best Practices' (2009) ... 2.4.1 ASTM E2825-12 'Standard Guide for Forensic Digital Image Processing' (2012) This more US-facing standard ...

Author: Anthony T. S. Ho

Publisher: John Wiley & Sons

ISBN: 9781118757079

Category: Technology & Engineering

Page: 704

View: 567

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Digital forensics and multimedia forensics are rapidly growing disciplines whereby electronic information is extracted and interpreted for use in a court of law. These two fields are finding increasing importance in law enforcement and the investigation of cybercrime as the ubiquity of personal computing and the internet becomes ever-more apparent. Digital forensics involves investigating computer systems and digital artefacts in general, while multimedia forensics is a sub-topic of digital forensics focusing on evidence extracted from both normal computer systems and special multimedia devices, such as digital cameras. This book focuses on the interface between digital forensics and multimedia forensics, bringing two closely related fields of forensic expertise together to identify and understand the current state-of-the-art in digital forensic investigation. Both fields are expertly attended to by contributions from researchers and forensic practitioners specializing in diverse topics such as forensic authentication, forensic triage, forensic photogrammetry, biometric forensics, multimedia device identification, and image forgery detection among many others. Key features: Brings digital and multimedia forensics together with contributions from academia, law enforcement, and the digital forensics industry for extensive coverage of all the major aspects of digital forensics of multimedia data and devices Provides comprehensive and authoritative coverage of digital forensics of multimedia data and devices Offers not only explanations of techniques but also real-world and simulated case studies to illustrate how digital and multimedia forensics techniques work Includes a companion website hosting continually updated supplementary materials ranging from extended and updated coverage of standards to best practice guides, test datasets and more case studies

Digital Image Forensics

Signal Process. Mag. 26(2), 16–25 (2009) 6. Fridrich, A.J., David Soukal, B., Lukáš, J.: Detection of copy-move forgery in digital images. In: Proceedings of Digital Forensic Research Workshop. Citeseer (2003) 7. Huang, Y., Wei, L., ...

Author: Aniket Roy

Publisher: Springer

ISBN: 9789811076442

Category: Technology & Engineering

Page: 89

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This 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”.

Cellular Automata in Image Processing and Geometry

IEEE Information Forensics and Security 7(6), 1841–1854 (2012) 6. Farid, H.: Image forgery detection: A survey. IEEE Signal Processing Magazine 26(2), 16–35 (2009) 7. Fridrich, J.: Digital image forensics.

Author: Paul Rosin

Publisher: Springer

ISBN: 9783319064314

Category: Technology & Engineering

Page: 304

View: 226

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The book presents findings, views and ideas on what exact problems of image processing, pattern recognition and generation can be efficiently solved by cellular automata architectures. This volume provides a convenient collection in this area, in which publications are otherwise widely scattered throughout the literature. The topics covered include image compression and resizing; skeletonization, erosion and dilation; convex hull computation, edge detection and segmentation; forgery detection and content based retrieval; and pattern generation. The book advances the theory of image processing, pattern recognition and generation as well as the design of efficient algorithms and hardware for parallel image processing and analysis. It is aimed at computer scientists, software programmers, electronic engineers, mathematicians and physicists, and at everyone who studies or develops cellular automaton algorithms and tools for image processing and analysis, or develops novel architectures and implementations of massive parallel computing devices. The book will provide attractive reading for a general audience because it has do-it-yourself appeal: all the computer experiments presented within it can be implemented with minimal knowledge of programming. The simplicity yet substantial functionality of the cellular automaton approach, and the transparency of the algorithms proposed, makes the text ideal supplementary reading for courses on image processing, parallel computing, automata theory and applications.

Forensic Image Processing

Forensic Image Processing Describes digital image fundamentals Includes step-by-step coverage of image processing—from image acquisitions to object recognition Discusses the integration of traditional security video and computer/internet ...

Author: Marcus Borengasser

Publisher: McGraw-Hill Education

ISBN: 0071599339

Category: Technology & Engineering

Page: 275

View: 182

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A practical guide to modern image processing techniques and applications in forensic investigations Featuring more than 100 images, Forensic Image Processing provides criminalists with information on how to apply the latest image processing techniques. Forensic image processing (FIP) involves computer restoration and enhancement of surveillance imagery. The goal of FIP is to maximize information extraction from surveillance imagery, especially imagery that is noisy, incomplete, or over/under exposed. With digital filtering, image restoration, de-noising, and enhancement techniques, information can be extracted from low-quality imagery. Using step-by-step examples, this unique resource describes, in detail, how to master the latest FIP technologies. Forensic Image Processing Describes digital image fundamentals Includes step-by-step coverage of image processing—from image acquisitions to object recognition Discusses the integration of traditional security video and computer/internet protocol technology Introduces new products that have led to IP surveillance Contains more than 100 images presenting applications in FIP Explains how to apply modern image processing techniques to forensic science Comprehensive coverage: Introduction to Forensic Image Processing; Digital Image Fundamentals; Image Enhancement in the Spatial Domain; Image Enhancement in the Frequency Domain; Image Restoration; Image Compression; Principles of Digital and Analog Video; Digital Video Processing; Surveillance Technology; Integrating Surveillance and IT

Digital Forensics and Forensic Investigations Breakthroughs in Research and Practice

Forensic estimation of gamma correction in digital images. Proceedings of IEEE Int. Conf. on Image Processing. doi:10.1109/ICASSP.2010.5495488 Cao, G., Zhao, Y., Ni, R., & Li, X. (2014). Contrast enhancement based forensics in digital ...

Author: Management Association, Information Resources

Publisher: IGI Global

ISBN: 9781799830269

Category: Law

Page: 562

View: 838

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As computer and internet technologies continue to advance at a fast pace, the rate of cybercrimes is increasing. Crimes employing mobile devices, data embedding/mining systems, computers, network communications, or any malware impose a huge threat to data security, while cyberbullying, cyberstalking, child pornography, and trafficking crimes are made easier through the anonymity of the internet. New developments in digital forensics tools and an understanding of current criminal activities can greatly assist in minimizing attacks on individuals, organizations, and society as a whole. Digital Forensics and Forensic Investigations: Breakthroughs in Research and Practice addresses current challenges and issues emerging in cyber forensics and new investigative tools and methods that can be adopted and implemented to address these issues and counter security breaches within various organizations. It also examines a variety of topics such as advanced techniques for forensic developments in computer and communication-link environments and legal perspectives including procedures for cyber investigations, standards, and policies. Highlighting a range of topics such as cybercrime, threat detection, and forensic science, this publication is an ideal reference source for security analysts, law enforcement, lawmakers, government officials, IT professionals, researchers, practitioners, academicians, and students currently investigating the up-and-coming aspects surrounding network security, computer science, and security engineering.

Digital Forensics and Watermarking

In this paper, we present a local derivative pattern (LDP) based forensic framework to detect if a digital image has been processed by seam carving or not. Each image is firstly encoded by applying four LDP encoders.

Author: Yun Qing Shi

Publisher: Springer

ISBN: 9783319534657

Category: Computers

Page: 618

View: 708

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This book constitutes the revised post-conference proceedings of the 15th International Workshop on Digital Forensics and Watermarking, IWDW 2016, held in Beijing, China, in September 2016. The 45 papers presented in this volume were carefully reviewed and selected from 70 submissions. The contributions are organized in topical sections on digital forensics, visual cryptography, reversible data hiding, and steganography and steganalysis.

Modern Library Technologies for Data Storage Retrieval and Use

In Proceedings of the IEEE International Conference on Image Processing (pp. 69-72). ... Multimedia forensic techniques for acquisition device identification and digital image authentication. In Li, C.-T. (Ed.), Handbook of research on ...

Author: Wei, Chia-Hung

Publisher: IGI Global

ISBN: 9781466629295

Category: Language Arts & Disciplines

Page: 345

View: 115

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In recent years, libraries have embraced new technologies that organize and store a variety of digital information, such as multimedia databases, digital medical images, and content-based images. Modern Library Technologies for Data Storage, Retrieval, and Use highlights new features of digital library technology in order to educate the database community. By contributing research from case studies on the emerging technology use in libraries, this book is essential for academics and scientists interested in the efforts to understand the applications of data acquisition, retrieval and storage.