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International Research Journal on Advanced Engineering and Management (IRJAEM)In the digital age, the proliferation of image editing tools has made it easier than ever to manipulate images, raising concerns about the authenticity and credibility of visual content. This project focuses on the development of an effective and efficient image forgery detection system to address the growing challenges associated with digital image ...
null Dr. Vikram S. Patil +4 more
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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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A robust detection and localization technique for copy-move forgery in digital images
Journal of King Saud University: Computer and Information Sciences, 2023 Image forensic analysis becomes a major role in the field of digital image security due to tampering and forgery. The image forgery violates the authenticity and ownership of digital images.
Manaf Mohammed Ali Alhaidery +2 more
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Journal of King Saud University: Computer and Information Sciences, 2021 Copy-move image forgery detection has become a significant research subject in multimedia forensics and security due to its widespread use and its hard detection.
Aya Hegazi, Ahmed Taha, Mazen M. Selim
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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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A review on copy-move image forgery detection techniques [PDF]
, 2021 With billions of digital images flooding the internet which are widely used and regards as the major information source in many fields in recent years. With the high advance of technology, it may seem easy to fraud the image. In digital images, copy-move
Khudhair, Z. N. +2 more
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Machine Learning-based Image Forgery Detection [PDF]
, 2023 openImage manipulation tools are constantly improving. Most recently, the productization of generative models in popular software like Adobe Photoshop provided a whole new range of possibilities.
ELFES, JAN
core
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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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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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
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