Results 11 to 20 of about 13,991,852 (286)
Image forgery detection review
2021 International Conference on Information Systems and Advanced Technologies (ICISAT), 2021 open ...
Benhamza, Hiba +2 more
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RIFD-Net: A Robust Image Forgery Detection Network
IEEE AccessImage splicing forensic technologies reveal manipulations that add or remove objects from images. However, the performance of existing splicing forensic methods is fatally degraded when detecting noisy images, as they often ignore the influence of image ...
Wuyang Shan +5 more
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A Survey on Photo Forgery Detection Methods
ITM Web of Conferences, 2018 In recent years, digital image forgery detection has become one of the hardest studying area for researchers investigations in the field of information security and image processing.
Gurunlu Bilgehan, Ozturk Serkan
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CoMoFoD #x2014; New database for copy-move forgery detection [PDF]
, 2013 Due to the availability of many sophisticated image processing tools, a digital image forgery is nowadays very often used. One of the common forgery method is a copy-move forgery, where part of an image is copied to another location in the same image ...
Grgic, M +3 more
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Image forgery detection via forensic similarity graphs [PDF]
, 2022 In the article 'Exposing Fake Images with Forensic Similarity Graphs', O. Mayer and M. C. Stamm introduce a novel image forgery detection method. The proposed method is built on a graph-based representation of images, where image patches are represented ...
Gardella, Marina, Musé, Pablo
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Image Forgery Detection & Localization
SSRN Electronic Journal, 2021 A human brain responds at a much faster rate to images and the information it contains. An image is considered as proof of past events that have occurred, but in today's world where editing tools are made available so easily tampering of images and hiding the original content has become too mainstream.
Shedge, Aditi +4 more
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IEEE Access, 2023 Copy-move (CM) forgery is a common type of image manipulation that involves copying and pasting a region within an image to conceal or duplicate content. Detection of such forgeries acts as an important part of digital image forensics.
Mashael Maashi +7 more
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Demosaicing to Detect Demosaicing and Image Forgeries
2022 IEEE International Workshop on Information Forensics and Security (WIFS), 2022 The truthfulness of images is a critical concern. Digital photographs can no longer be assumed to be truthful; indeed, digital image editing tools can easily and convincingly alter the semantic content of an image. Being able to analyse an image to check for forgeries becomes of the utmost importance in many domains, from police investigations to fact ...
Bammey, Quentin +2 more
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An Efficient CNN Model to Detect Copy-Move Image Forgery
IEEE Access, 2022 Recently, digital images have become used in many applications, where they have become the focus of digital image processing researchers. Image forgery represents one hot topic on which researchers prioritize their studies.
Khalid M. Hosny +3 more
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Image Inpainting Forgery Detection: A Review
Journal of Imaging, 2023 In recent years, significant advancements in the field of machine learning have influenced the domain of image restoration. While these technological advancements present prospects for improving the quality of images, they also present difficulties, particularly the proliferation of manipulated or counterfeit multimedia information on the internet. The
Adrian-Alin Barglazan +2 more
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