Image analysis
Steganalysis of DCT-embedding based adaptive steganography and YASS
Detection of misaligned cropping and recompression with the same quantization matrix and relevant forgery
A Method to Detect JPEG-Based Double Compression
“Congruent Matching”—Theory and Application in Forensic Image Identification
This event brought together practitioners and researchers to enhance information-sharing and promote collaboration among the impression, pattern, and trace evidence analysts, law enforcement, and legal communities.
The symposium was presented by the NIJ Forensic Technology Center of Excellence January 22-25, 2018.
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Shift recompression-based feature mining for detecting content-aware scaled forgery in JPEG images
Best Practices for Forensic Digital Image Processing
When processing a digital image for scientific analysis and comparison, there are proper procedures that must be followed. This is to ensure the processed image’s admissibility in court and to provide the highest level of clarity and detail possible. Adobe Photoshop provides many tools for processing digital images; however, there are some tools that should not be used in forensic digital image processing.
This webinar was presented by the NIJ Forensic Technology Center of Excellence on August 5, 2021.
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Image Quality and Clarity: The Keys to Forensic Digital Image Processing
Analyzing, comparing, and evaluating forensic digital images relies on understanding two essential elements: image quality and image clarity. Resolution provides image quality, while bit depth provides clarity between the details in an image. It is important to understand how image quality and clarity can affect the probative value of a forensic digital image as well as an examiner’s ability to accurately analyze those images.
This webinar was presented by the NIJ Forensic Technology Center of Excellence on August 3, 2021.
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Look Twice as Much as You Say: Scene Graph Contrastive Learning for Self-Supervised Image Caption Generation
Exposing Image Tampering with the Same Quantization Matrix
Audio Visual Segmentation through Text Embeddings
Assessing automated image analysis and compound-specific stable isotope signatures for small arms propellant differentiation and potential brand identification
Variation in Human Hair Ultrastructure among Three Biogeographic Populations
Automated Image-based Identification and Consistent Classification of Fire Patterns with Quantitative Shape Analysis and Spatial Location Identification
Objective Image Analysis for the Interpretation of Colorimetric Tests for Drugs of Abuse
Three-Dimensional-Printed Instrument for Isothermal Nucleic Acid Amplification with Real-Time Colorimetric Imaging
Color Manipulation Through Microchip Tinting for Colorimetric Detection Using Hue Image Analysis
Characterization of the Spectral Accuracy of an Orbitrap Mass Analyzer Using Isotope Ratio Mass Spectrometry
Police Crime Lab Accreditation Initiative
Assessing the strengths and limitations of quantitative micromorphometry for the forensic examination of small arms propellant towards brand identification
An Image Analysis Framework for Objective Color Interpretation of Seized Drug Tests
Can Science Enhance Equity? Findings and Implications From a Study To Detect Bruising on Victims with Dark Skin Pigmentation
This plenary panel from the 2023 NIJ Research Conference features fascinating research on a methodology to improve the detection and documentation of bruises on victims of violence who have dark skin pigmentation. This study highlights the intersection between science, justice, and racial equity, featuring practitioner and victims’ advocacy perspectives. The discussion describes the research and its findings and explore strategies to ensure that this particular evidence-based methodology can be widely implemented by nurse practitioners in the field.
Participants:
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