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Digital Image Forgery Detection Using JPEG Features and Local Noise Discrepancies [PDF]
The Scientific World Journal, 2014 Wide availability of image processing software makes counterfeiting become an easy and low-cost way to distort or conceal facts. Driven by great needs for valid forensic technique, many methods have been proposed to expose such forgeries.
Bo Liu, Chi-Man Pun, Xiao-Chen Yuan
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A multi-model feature fusion based transfer learning with heuristic search for copy-move video forgery detection [PDF]
Scientific ReportsProtecting data from management is a significant task at present. Digital images are the most general data representation. Images might be employed in many areas like social media, the military, evidence in courts, intelligence fields, security purposes,
Hessa Alfraihi +7 more
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The Optimal Model for Copy-Move Forgery Detection in Medical Images [PDF]
Journal of Medical Signals and SensorsBackground: Digital devices can easily forge medical images. Copy-move forgery detection (CMFD) in medical image has led to abuses in areas where access to advanced medical devices is unavailable.
Ehsan Amiri +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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Unveiling Copy-Move Forgeries: Enhancing Detection With SuperPoint Keypoint Architecture
IEEE Access, 2023 The authentication of digital images poses a significant challenge due to the wide range of image forgery techniques employed, with one notable example being a copy-move forgery.
Anjali Diwan +4 more
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Copy Move and Splicing Image Forgery Detection using CNN [PDF]
ITM Web of Conferences, 2022 The boom of digital images coupled with the development of approachable image manipulation software has made image tampering easier than ever. As a result, there is massive increase in number of forged or falsified images that represent incorrect or ...
Mallick Devjani +3 more
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Detection of tamper forgery image in security digital mage
Measurement: Sensors, 2023 Every industry that uses digital photos is concerned about image security. Forensics and public safety have long relied on suspect photos, crime scene photos, biometric photos, and other images.
Mohammed Fakhrulddin Abdulqader +2 more
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Enhancing Digital Image Forgery Detection Using Transfer Learning
IEEE Access, 2023 Nowadays, digital images are a main source of shared information in social media. Meanwhile, malicious software can forge such images for fake information. So, it’s crucial to identify these forgeries. This problem was tackled in the literature by
Ashgan H. Khalil +4 more
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Revista Facultad de Ingeniería Universidad de Antioquia, 2023 Today, image forgery is common due to the massification of low-cost/high-resolution digital cameras, along with the accessibility of computer programs for image processing.
Jimmy alexander Cortés Osorio +2 more
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A New Method to Detect Splicing Image Forgery Using Convolutional Neural Network
Applied Sciences, 2023 Recently, digital images have been considered the primary key for many applications, such as forensics, medical diagnosis, and social networks. Image forgery detection is considered one of the most complex digital image applications.
Khalid M. Hosny +3 more
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