Image analysis
Joint Demosaicing and Super-Resolution (JDSR): Network Design and Perceptual Optimization
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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