Results 61 to 70 of about 3,390 (157)
DSNI-Net: Forensic Network for Detecting Splicing in Salt-and-Pepper Noisy Images
IEEE AccessImage splicing forensics technology is an important way to detect and locate spliced areas in naturally tampered images. However, common noise, especially salt-and-pepper (s&p) noise, can change pixel values to 0 or 255, significantly reducing the
Wuyang Shan +5 more
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Hybrid Domain Perception Combined With Multi-expert Decoding to Improve Image Forgery Localization
International Journal of Computational Intelligence SystemsWith the advancements in multimedia software and hardware technology, image forgery localization has become an important challenge in digital forensics.
Xuchao Gong +5 more
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FACSNet: Forensics aided content selection network for heterogeneous image steganalysis
Scientific ReportsThe main goal of image steganalysis, as a technique of confrontation with steganography, is to determine the presence or absence of secret information in conjunction with the specific statistical characteristics of the carrier.
Siyuan Huang +4 more
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Research of Internal Image Move-Copy Tampering Forensics Algorithm
四川大学学报. 自然科学版, 2016 According to the low robustness characteristics of image tampering with evidence of general move-copy algorithm, this paper proposes a new algorithm. Firstly, it uses the color invariant feature to detect feature points, which improves recall forensic ...
LI Ruo-Chen +3 more
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Frequency domain manipulation of multiple copy-move forgery in digital image forensics. [PDF]
PLoS OneQazi T +5 more
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Forensic analysis for digital images.
, 2011 Nowadays, taking and sharing digital pictures is becoming a very popular activity. This is witnessed by the explosive growth of the digital cameras market: e.g., more than one billion of digital cameras have been produced and shipped in 2010. A consequence of this trend is that also the number of crimes involving digital pictures increases, either ...
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Deep learning and multi-statistical features: an intra-frame forgery detection video method. [PDF]
Front Artif IntellUliyan D +4 more
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Source camera attribution using a rule-based explainable convolutional neural network. [PDF]
Sci RepNayerifard T +2 more
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Interpol review of forensic image and video analysis, 2022-2025. [PDF]
Forensic Sci Int SynergGeradts Z, van Lierop S, Kombrink M.
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