Description
Taylor and Francis Forensic Uses Of Digital Imaging 2Nd Edition by RUSS J C
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 most relevant to forensic science.
Since the publication of the first edition, there have been many significant changes in technology that have revolutionized the ways digital images are used in forensic investigations. Fully updated, the second edition:
• Covers the widespread advancements of digital imaging photography and processing
• Discusses the increased power, storage capacity, and use of digital cameras, laptop computers, tablets, and cell phones in forensic science
• Gives real-world examples to illustrate comparisons between different processing options
• Includes hundreds of full-color images that demonstrate technologies and techniques
• Addresses issues of admissibility of forensic investigation results under Frye and Daubert rules
• Provides guidelines and suggestions for effectively presenting and explaining results
Forensic Uses of Digital Imaging, Second Edition explains concepts with minimal jargon, and the methods and tools described in this book can be implemented in a broad spectrum of available computer programs. By demonstrating how these methods can be applied to a variety of images, this book helps readers develop the ability to understand when and how specific techniques should be used. It will be of particular use in casework for practicing photography and imaging police and forensic professionals who need to verify and explain both interpretations and processes to legal professionals, judges, and juries.
Key Features:-
• Covers the widespread advances in digital imaging technology, techniques, and devices
• Discusses how to work with both high- and lower-resolution images
• Gives guidelines and suggestions for effective presentation and explanation of investigative results, including under Frye and Daubert rules
• Explains advanced imaging processes and concepts with minimal jargon
• Includes hundreds of full-color images to illustrate the latest forensic imaging technologies and techniques
Table of Contents
Digital Still and Video Cameras
Digital Cameras
Pixels
Single-Chip Cameras
Spectral Response
Beyond the Visual
Spectrophotometers
Spatial Resolution
Tonal Resolution
Camera Choices
File Formats and Compression
JPEG Compression
Video
MPEG Compression
Microscope Images
Locard’s Principle
Other Sources of Digital Images
File Storage
References
Basic Image Processing and Enhancement
Calibrating Dimension
Color Spaces
Color Correction
Image Rectification
Interpolation
Adjusting Contrast and Brightness
Histogram Equalization
High-Bit-Depth Images
Reducing Image Noise
Neighborhood Convolutions
Median Filters
Nonuniform Illumination
Complex Backgrounds
Generating a Background
Morphological Filters
Sharpening Contrast
Second Derivatives
Modifications
References
Advanced Processing Techniques
Reducing Random Noise
Bilateral and Anisotropic Diffusion Filters
Nonlocal Means Filter
Modified Median Filters
Morphological Filters
Increasing Edge Contrast
The Kuwahara Filter
Outlining Edges
Multiple Images
Principal Components Analysis
Fourier Transforms
Frequency Filters
Homomorphic Filter
Periodic Noise Removal
Deconvolution of Focus and Motion Blur
3D Imaging
Correlation
The Wavelet Transform
Specialized Processing Methods
References
Comparison and Measurement
Side-by-Side Comparison
Matching Features or Dimensions
Facial Recognition
Biometric Measures
Foot- and Tire Prints
Reverse Projection
Dimensional Measurements
Photogrammetry
Stereo Pairs
Estimating Crowds
Object Measurements
Thresholding
Processing Thresholded Images
Combining Images
Measuring Position and Color
Measuring Size and Shape
Identification
Detecting Image Manipulation
References
Interpreting and Presenting Evidence
Image Displays
Explaining and Showing Procedures
Comparisons
Computer Graphics and Animations
Dynamic Models
Explaining Processing and Measurement
The Photoshop Issue
Credibility
Standards
Probability and Bayes’ Rule
Evaluating Probabilities
Distinguishing Groups
Daubert Criteria
Error and Variability
Identifying Individuals
Explaining Uncertainty
References
About the Author
John C. Russ is emeritus professor in the Department of Materials Science and Technology, College of Engineering, North Carolina State University, Raleigh. Much of his research during his 50-year career has been concerned with the microstructure and surface topography of metals and ceramics. He currently consults with a variety of companies, provides expert testimony in criminal and civil cases, teaches workshops worldwide on image processing and analysis, and reviews publications and funding proposals. He is active in a number of professional societies, and has presented frequent invited lectures and workshops for them. He has also received the Ernst Abbe Memorial Award from the New York Microscopical Society for his contributions to the field of microscopy as a developer of computer-assisted microscopy and image analysis.