Results 151 to 160 of about 285 (210)

Bret/BRAT

open access: yes
Critical Quarterly, EarlyView.
Nicholas Smart
wiley   +1 more source

Janet Malcolm's Self‐Portrait

open access: yes
Critical Quarterly, EarlyView.
Jerome Boyd Maunsell
wiley   +1 more source

Theatres of Indirectness: Passive Aggression and Failure

open access: yes
Critical Quarterly, EarlyView.
Sara Crangle, Sam Ladkin
wiley   +1 more source

Copy-move forgery detection based on hybrid features

Engineering Applications of Artificial Intelligence, 2017
Abstract Copy-move forgery is one of the most popular tampering artifacts in digital images. Most existing keypoint-based detection methods may fail to precisely locate duplicated regions because there are not enough correct matched points. In this paper, a novel copy-move forgery detection method is proposed based on hybrid features.
Wei Lu, Jian Weng
exaly   +2 more sources

Source-destination discrimination on copy-move forgeries

Multimedia Tools and Applications, 2021
Since digital images are one of the most important carriers of information, their authenticity is quite important. There are miscellaneous forgery techniques for manipulating digital images, and one of those is copy-move forgery. Many forgery detection techniques have been developed for detection of copy-move forgery so far.
Emre Gürbüz   +2 more
openaire   +1 more source

Adaptive matching for copy-move Forgery detection

2014 IEEE International Workshop on Information Forensics and Security (WIFS), 2014
The objective of copy-move forgery detection methods are to find copied regions within the same image. There are two main approaches to detect copy-move forgery: keypoint-based and block-based methods. Although the former is superior in terms of computational complexity, these methods neglect the smooth regions since they confine their search to ...
Mohsen Zandi   +2 more
openaire   +1 more source

Copy Move Forgery Detection based on double matching

Journal of Visual Communication and Image Representation, 2021
Abstract Copy Move is a technique widespreadly used in digital image tampering, meaning Copy Move Forgery Detection (CMFD) is still a significant research. In this paper, a novel CMFD method is proposed, including double matching process and region localizing process.
Qiyue Lyu   +5 more
openaire   +1 more source

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