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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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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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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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Pixel Based Image Forensic Technique for Copy-move Forgery Detection Using Auto Color Correlogram [PDF]
Procedia Computer Science, 2016 The credibility of a digital image plays a generous role in blind Image forensics. We focus on detection of a typical kind of forgery, referred to as copy-move forgery, which is commonly practiced in the field of blind image forensics.
Ladhake, Siddharth A. +1 more
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International Journal of Science, Strategic Management and Technology
In the contemporary era, digital images are a vital source of information in the modern day, and as such, they are regularly disseminated on social media. False identification could be inferred from the deceptive information. With the many tools and methods that are available today, anyone can quickly create image forgeries that could pose a number of ...
PRAVEEN KUMAR G, VANITHA P
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In the contemporary era, digital images are a vital source of information in the modern day, and as such, they are regularly disseminated on social media. False identification could be inferred from the deceptive information. With the many tools and methods that are available today, anyone can quickly create image forgeries that could pose a number of ...
PRAVEEN KUMAR G, VANITHA P
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Detecting Image Forgery in Single-Sensor Multispectral Images
2018With the advancements in digital technology, multispectral images have found use in fields like forensics, remote sensing due to their ability to perceive things which were otherwise non-existent. They are used to obtain more information about terrains, land cover and in forensics as certain things like blood stains are not visible in visible spectrum.
Mridul Gupta, Puneet Goyal
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Image Forgery Detection Based on Semantic Image Understanding
2017Image forensics has been focusing on low-level visual features, paying little attention to high-level semantic information of the image. In this work, we propose the framework for image forgery detection based on high-level semantics with three components of image understanding module, the normal rule bank (NR) holding semantic rules that comply with ...
Kui Ye +4 more
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