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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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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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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.
Aditi Shedge +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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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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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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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
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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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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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