Results 11 to 20 of about 11,458,060 (241)
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
core +1 more source
Facial depth forgery detection based on image gradient
, 2023 With the widespread application of deep learning, many artificially generated fake images and videos appear on the Internet. However, it is difficult for people to distinguish the real from the fake ones, making the research on detecting and recognizing ...
Fang, Xianjin +7 more
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Image Copy-Move Forgery Detection Based on Fused Features and Density Clustering
Applied Sciences, 2023 Image copy-move forgery is a common simple tampering technique. To address issues such as high time complexity in most copy-move forgery detection algorithms and difficulty detecting forgeries in smooth regions, this paper proposes an image copy-move ...
Guiwei Fu, Yujin Zhang, Yongqi Wang
doaj +1 more source
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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Copy-Move Forgery Detection Techniques based on Traditional Methods in Digital Images
تحلیل مدارها، داده ها و سامانه ها, 2023 Image forgery is one of the most widely used fields in image processing, which has been widely studied and studied by researchers. There are different types of digital image forgery, copy-move forgery is one of the common examples, and it is very ...
Maryam Attaie Gahfarkhi +1 more
doaj
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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Two improved forensic methods of detecting contrast enhancement in digital images [PDF]
, 2014 Contrast enhancements, such as histogram equalization or gamma correction, are widely used by malicious attackers to conceal the cut-and-paste trails in doctored images.
Xufeng Lin +5 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
doaj +1 more source
Fuzzy Based Image Forensic Tool for Detection and Classification of Image Cloning
International Journal of Computational Intelligence Systems, 2016 With the easy availability of image processing and image editing tools, the cases of forgery have been raised in the last few years. Now days it is very difficult for a viewer and judicial authorities to verify authenticate a digital image.
Mohammad Farukh Hashmi +2 more
doaj +1 more source