Anti‐forensics for double JPEG compression based on deep reinforcement learning
Electronics Letters, 2022 DJPEG (double JPEG compression) detection has received attention in image forensics. In order to study the limitations of forensics detectors under attacks, it is essential to develop DJPEG anti‐forensics techniques.
Weixuan Tang, Dequ Huang, Bin Li
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Neural noiseprint transfer: a generic noiseprint-based counter forensics framework [PDF]
PeerJ Computer Science, 2023 A noiseprint is a camera-related artifact that can be extracted from an image to serve as a powerful tool for several forensic tasks. The noiseprint is built with a deep learning data-driven approach that is trained to produce unique noise residuals with
Ahmed Elliethy
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Dual-Domain Fusion Convolutional Neural Network for Contrast Enhancement Forensics
Entropy, 2021 Contrast enhancement forensics techniques have always been of great interest for the image forensics community, as they can be an effective tool for recovering image history and identifying tampered images.
Pengpeng Yang
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A robust watermarking hybrid algorithm for color image [PDF]
MATEC Web of Conferences, 2021 In order to improve the anti-attack performance of the watermark to meet the requirements of copyright protection and content forensics. This paper proposes a digital watermarking hybrid algorithm based on color images.
Song Mengli +5 more
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Multiscale Content-Independent Feature Fusion Network for Source Camera Identification
Applied Sciences, 2021 In recent years, source camera identification has become a research hotspot in the field of image forensics and has received increasing attention. It has high application value in combating the spread of pornographic photos, copyright authentication of ...
Changhui You +4 more
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Generalized Richardson-Lucy (GRL) for analyzing multi-shell diffusion MRI data
NeuroImage, 2020 Spherical deconvolution is a widely used approach to quantify the fiber orientation distribution (FOD) from diffusion MRI data of the brain. The damped Richardson-Lucy (dRL) is an algorithm developed to perform robust spherical deconvolution on single ...
Fenghua Guo +4 more
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Forensic Imaging: A Powerful Tool in Modern Forensic Investigation [PDF]
Forensic Sciences Research, 2022 Abstract Forensic imaging is a non-invasive examination process during the forensic investigation. It is mainly used in forensic pathology as an adjunct to the traditional autopsy. In the past two decades, forensic imaging has been vigorously developed by forensic experts from computed tomography (CT) to multiple augmented techniques ...
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Detection of Spliced Image Forensics Using Texture Analysis of Median Filter Residual
IEEE Access, 2020 In the image forensics, detection of Cut-Paste manipulation is complicated computing. In this paper, the texture analysis of the spliced image is used to detect image forensics.
Kang Hyeon Rhee
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Exposing Fake Faces Through Deep Neural Networks Combining Content and Trace Feature Extractors
IEEE Access, 2021 With the breakthrough of computer vision and deep learning, there has been a surge of realistic-looking fake face media manipulated by AI such as DeepFake or Face2Face that manipulate facial identities or expressions.
Eunji Kim, Sungzoon Cho
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Self-Supervised Learning for the Distinction between Computer-Graphics Images and Natural Images
Applied Sciences, 2023 With the increasing visual realism of computer-graphics (CG) images generated by advanced rendering engines, the distinction between CG images and natural images (NIs) has become an important research problem in the image forensics community.
Kai Wang
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