Results 21 to 30 of about 5,936 (296)
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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Color-decoupled photo response non-uniformity for digital image forensics [PDF]
, 2012 The last few years have seen the use of photo response non-uniformity noise (PRNU), a unique fingerprint of imaging sensors, in various digital forensic applications such as source device identification, content integrity verification and authentication.
Chang-Tsun Li +3 more
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Image and Video Forensics [PDF]
, 2022 Nowadays, images and videos have become the main modalities of information being exchanged in everyday life, and their pervasiveness has led the image forensics community to question their reliability, integrity, confidentiality, and security. Multimedia
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Source identification for mobile devices, based on wavelet transforms combined with sensor imperfections [PDF]
, 2013 One of the most relevant applications of digital image forensics is to accurately identify the device used for taking a given set of images, a problem called source identification.
Hernandez-Castro, Julio C. +4 more
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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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On the Generalization of GAN Image Forensics [PDF]
, 2019 Recently the GAN generated face images are more and more realistic with high-quality, even hard for human eyes to detect. On the other hand, the forensics community keeps on developing methods to detect these generated fake images and try to guarantee the credibility of visual contents.
Xinsheng Xuan +3 more
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Differential Imaging Forensics
CoRR, 2019 We introduce some new forensics based on differential imaging, where a novel category of visual evidence created via subtle interactions of light with a scene, such as dim reflections, can be computationally extracted and amplified from an image of interest through a comparative analysis with an additional reference baseline image acquired under ...
Aurélien Bourquard, Jeff Yan
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A Full-Image Full-Resolution End-to-End-Trainable CNN Framework for Image Forgery Detection
IEEE Access, 2020 Due to limited computational and memory resources, current deep learning models accept only rather small images in input, calling for preliminary image resizing.
Francesco Marra +3 more
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Deepfake-Image Anti-Forensics with Adversarial Examples Attacks
Future Internet, 2021 Many deepfake-image forensic detectors have been proposed and improved due to the development of synthetic techniques. However, recent studies show that most of these detectors are not immune to adversarial example attacks.
Li Fan, Wei Li, Xiaohui Cui
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