Results 211 to 220 of about 1,494 (254)
Some of the next articles are maybe not open access.
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 ...
openaire +1 more source
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
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
openaire +1 more source
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
openaire +2 more sources
A Forensic Tool for Investigating Image Forgeries
International Journal of Digital Crime and Forensics, 2013Images have always been considered a reliable source of evidence in the past. Today, the wide availability of photo editing software urges the authors to investigate the origin and the integrity of a digital image before trusting it. Although several algorithms have been developed for image integrity verification, a comprehensive tool that allows the ...
Marco Fontani +4 more
openaire +2 more sources
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
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
openaire +2 more sources
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
openaire +1 more source
Exposing digital forgeries in scientific images
Proceedings of the 8th workshop on Multimedia and security, 2006A recent case of scientific fraud, involving manipulated images in a high-profile scientific publication, has sent shock- waves through the scientific community. By some measures, however, this case is not isolated - in at least one journal, it is estimated that as many as 20% of accepted manuscripts contain figures with inappropriate manipulations ...
openaire +1 more source
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
openaire +1 more source
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
openaire +1 more source