Forensic Digital Image Processing

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.

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.

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”.

"This hands-on guide clarifies the difference between what can be done digitally and what should be done in a forensic setting, and helps the reader "learn by doing" with exercises and step-by-step instructions. The images and exercises in the CD-ROM provide practical examples of the techniques described in the book." "Law enforcement professionals who follow the recommendations in this text can feel confident that their handling of imaging evidence will stand up to the high standards necessary for prosecuting criminal cases."--BOOK JACKET.

The ability to work with, and retrieve images, is vital to forensic and criminal case work. During a five-decade-long career, author John C. Russ has taught methods for image processing and measurement to thousands of students. Forensic Uses of Digital Imaging, Second Edition distills his classroom and workshop material to present the information m

Understanding Forensic Digital Imaging offers the principles of forensic digital imaging and photography in a manner that is straightforward and easy to digest for the professional and student. It provides information on how to photograph any setting that may have forensic value, details how to follow practices that are acceptable in court, and recommends what variety of hardware and software are most valuable to a practitioner. In addition to chapters on basic topics such as light and lenses, resolution, and file formats, the book contains forensic-science-specific information on SWGIT and the use of photography in investigations and in court. Of particular note is Chapter 17, Establishing Quality Requirements, which offers information on how to create a good digital image, and is more comprehensive than any other source currently available. Covers topics that are of vital importance to the practicing professional Serves as an up-to-date reference in the rapidly evolving world of digital imaging Uses clear and concise language so that any reader can understand the technology and science behind digital imaging

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

It happens all too often: The vague images of a poor quality video from a surveillance camera splash across the screen in a darkened courtroom and the guilt or innocence of the defendant hinges on whether or not the jury can determine if he or she is really the person in those images. Interpretation and misinterpretation of information about imaging in general, and digital image manipulation in computers in particular, by expert witnesses on both sides, and by counsel who ask questions that are both confused and confusing, may or may not help the jury in reaching a decision. Clearly there is a need for a simple guide to digital imaging for law and forensic professionals. Forensic Uses of Digital Imaging addresses that need. Written by the author of the best selling Image Processing Handbook, it shows you step-by-step how to use digital imaging to its best advantage. It explains by example when and why some procedures are appropriate and what they can be expected to reveal. While other books discuss computer programming to implement algorithms, this book shows in more simple terms just what the advantages and shortcomings of digital imaging are, and how computer image processing can be used to enhance the ability to access detail without compromising the truth of images. Practitioners will learn how to testify about their procedures and results in simple, precise language. Counsel will discover appropriate avenues for questioning to bring forth such explanations, and how to challenge witnesses who may confuse or mislead juries with wrong information or opinions.