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Counter-Forensics: Attacking Image Forensics [PDF]
, 2012 This chapter discusses counter-forensics, the art and science of impeding or misleading forensic analyses of digital images. Research on counter-forensics is motivated by the need to assess and improve the reliability of forensic methods in situations where intelligent adversaries make efforts to induce a certain outcome of forensic analyses.
Rainer Böhme, Matthias Kirchner
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The current state of forensic imaging– clinical forensic imaging
International Journal of Legal MedicineAbstract Clinical forensic imaging could be defined as the use of imaging first realised for medical care as evidence for a judicial purpose. It requires both forensic experts and clinical radiologists to have a good understanding of imaging modalities and indications and a solid knowledge of the correct terminology.
Dedouit, Fabrice +8 more
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Median Filtering Forensics Using Multiple Models in Residual Domain
IEEE Access, 2019 Median filtering, due to highly non-linear and content-preserving, has widely used in the multimedia security fields, such as anti-forensics, steganography, and steganalysis.
Anjie Peng +3 more
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Forensic Similarity for Digital Images
IEEE Transactions on Information Forensics and Security, 2020 16 pages, Accepted for publication with IEEE T-IFS (IEEE Transactions on Information Forensics and Security, 2019)
Owen Mayer, Matthew C. Stamm
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Location of Latent Forensic Traces Using Multispectral Bands
Sensors, 2022 In this paper, a conventional camera modified to capture multispectral images, has been used to locate latent forensic traces with a smart combination of wavelength filters, capturing angle, and illumination sources.
Samuel Miralles-Mosquera +2 more
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GRAFT: Unsupervised Adaptation to Resizing for Detection of Image Manipulation
IEEE Access, 2020 A large number of methods for forensics of image manipulation relies on detecting fingerprints in residuals or noises. Therefore, these detection methods are bound to be sensitive to noise generated by the image acquisition process, as well as any pre ...
Ludovic Darmet, Kai Wang, Francois Cayre
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A Deep Analysis of Printed Image Forensics with Auto Machine Learning
Vietnam Journal of Computer ScienceThis research undertakes an exhaustive exploration of the Auto Machine Learning-based approach (AutoML) to ascertain the source printer for microscopic printed image forensics.
Phu Q. Nguyen, Nhan Tam Dang, An Mai
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Implementation of Image Enhancement Algorithm for Image Forensics using Mathlab
JOIN: Jurnal Online Informatika, 2020 The purpose of this journal is to explain the implementation of the image enhancement algorithm for image forensics. Image Forensic deals with the types of digital evidence in the form of digital image files. One of the most commonly used digital devices
Fauzan Novaldi Suteja +2 more
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Ruler Detection for Autoscaling Forensic Images [PDF]
International Journal of Digital Crime and Forensics, 2014 The assessment of forensic photographs often requires the calibration of the resolution of the image so that accurate measurements can be taken of crime-scene exhibits or latent marks. In the case of latent marks, such as fingerprints, image calibration to a given dots-per-inch is a necessary step for image segmentation, preprocessing, extraction of ...
Abhir Bhalerao, Gregory Reynolds
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Morphological Filter Detector for Image Forensics Applications
IEEE Access, 2020 Mathematical morphology provides a large set of powerful non-linear image operators, widely used for feature extraction, noise removal or image enhancement. Although morphological filters might be used to remove artifacts produced by image manipulations,
Giulia Boato +2 more
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