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Image splicing forgery detection: A review
Multimedia Tools and ApplicationsRitesh Kumari, Hitendra Garg
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Image forgery detection using image similarity
Multimedia Tools and Applications, 2020Ideally, sophisticated image forgery methods leave no perceptible evidence of tampering. In response to such stringent context, researchers have proposed digital methods to detect such indiscernible tampering. In this paper, we present a blind image forgery detection method that uses a steerable pyramid decomposition technique and copulas ensemble ...
Saif alZahir, Radwa Hammad
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Forgery Detection in 3D-Sensor Images
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2018The field of Image Forensic, and with it the notion of image forgery and its detection, is widely studied in 2D images and videos. Since 3D cameras (cameras with depth sensors) are becoming increasingly commonplace, it is of importance to introduce the notion of forgery detection in depth-images.
Noa Privman-Horesh +2 more
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Image forgery detection confronts image composition
Computers & Graphics, 2017We compare the state-of-the-art in image composition and forgery detection.We perform experiments confronting techniques from both fields.Forgery detection techniques fared well against sophisticated manipulation.Current challenges in forgery detection are discussed.
Schetinger, Victor +3 more
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IEEE Signal Processing Magazine, 2009
We are undoubtedly living in an age where we are exposed to a remarkable array of visual imagery. While we may have historically had confidence in the integrity of this imagery, today's digital technology has begun to erode this trust. From the tabloid magazines to the fashion industry and in mainstream media outlets, scientific journals, political ...
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We are undoubtedly living in an age where we are exposed to a remarkable array of visual imagery. While we may have historically had confidence in the integrity of this imagery, today's digital technology has begun to erode this trust. From the tabloid magazines to the fashion industry and in mainstream media outlets, scientific journals, political ...
openaire +1 more source
Detecting image forgeries using metrology
Machine Vision and Applications, 2010Image forgery technology has become popular for tampering with digital photography. This paper presents a framework for detecting fake regions using single view metrology and enforcing geometric constraints from shadows. In particular, we describe how to (1) estimate the region of interest’s 3D measurements from a single perspective view of a scene ...
Lin Wu 0001 +3 more
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A survey on Image Forgery Detection techniques
The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF), 2015The paper presents a survey on Image Forgery Detection (IFD) techniques applied for both Copy-Move and spliced images. The survey attempts to cover involved algorithms over past ten years, classify them in groups having the similar methods to solve problems.
Tu K. Huynh +3 more
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Image Forgery detection on cloud
2019 2nd International Conference on Signal Processing and Communication (ICSPC), 2019Every day many digital documents are produced and distributed by televisions, newspapers, magazines, and websites. In all these communication channels images play an important role in communicating the information. Today, it is very easy to manipulate digital images with the help of advanced computer, photo editing software, image processing techniques
Alisha James +4 more
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Digital Image Forgery Detection
International Journal of Innovative Science and Research TechnologyThis project proposes an image forgery detection method using CNN, capable of delivering high accuracy and a clear explanation for each forged instance. In the past few years, image forgery has increased drastically, owing to the easy availability of image editing tools and techniques, including morphing. To mitigate this increasing menace and mitigate
Parkavi C +4 more
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State of the art in passive digital image forgery detection: copy-move image forgery
Pattern Analysis and Applications, 2017Authenticating digital images is increasingly becoming important because digital images carry important information and due to their use in different areas such as courts of law as essential pieces of evidence. Nowadays, authenticating digital images is difficult because manipulating them has become easy as a result of powerful image processing ...
Somayeh Sadeghi +4 more
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