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Advancements in CNN-Based Techniques for Robust Image Forgery Detection: Challenges and Future Directions [PDF]
E3S Web of ConferencesIn response to the rise of manipulated images online, which are often obscured by compression and resizing, effective forgery detection systems have become essential.
C Raghavendra +3 more
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Use of KAOS in operational digital forensic investigations [PDF]
, 2013 . This paper focuses on the operations involved in the digital forensic process using the requirements engineering framework KAOS. The idea is to enforce the claim that a requirements engineering approach to digital forensics produces reusable patterns ...
Aziz, Benjamin, Blackwell, C.
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Random Forest based Copy-Move Forgery Detection
, 2020 Proving the authenticity of images is animportant part of image forensics. Copy-move forgery is amethod of forgery commonly followed in blind image forensics.We propose the use of a modified Auto Color Correlogram toobtain feature vectors from the forged image.
openaire +2 more sources
IEEE AccessDigital image forensics aims to verify the authenticity of an image by determining its origin and any processing it has undergone. Among passive approaches in copy move forgery detection, which analyze images without requiring prior embedded information,
Tanzeela Qazi +6 more
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Digital Image Forgery Detection Using JPEG Features and Local Noise Discrepancies
The Scientific World Journal, 2014 Wide availability of image processing software makes counterfeiting become an easy and low-cost way to distort or conceal facts. Driven by great needs for valid forensic technique, many methods have been proposed to expose such forgeries.
Bo Liu, Chi-Man Pun, Xiao-Chen Yuan
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Fractional Quaternion Zernike Moments for Robust Color Image Copy-Move Forgery Detection
IEEE Access, 2018 In this paper, fractional Zernike moments (FrZMs) for complex signals are generalized to fractional quaternion Zernike moments (FrQZMs) for quaternion signal processing in a holistic manner by the quaternion algebra.
Beijing Chen +4 more
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Copy-Move Forgery Detection (CMFD) Using Deep Learning for Image and Video Forensics. [PDF]
J Imaging, 2021 Rodriguez-Ortega Y +2 more
europepmc +1 more source
An Efficiency Enhanced Cluster Expanding Block Algorithm for Copy-Move Forgery Detection [PDF]
[[conferencetype]]國際[[conferencetkucampus]]台北校園[[conferencedate]]20150902~20150904[[booktype]]電子版[[iscallforpapers]]Y[[conferencelocation]]Taipei ...
[[corresponding]]Chen, Chien-Chang +1 more
core
Efficient Approach for the Localization of Copy-Move Forgeries Using PointRend with RegNetX
مجلة بغداد للعلومDigital images are one of the modern era's dominant sources of information and communication. However, an image can simply be altered with the existence of several tools for image editing.
Mahmoud H. Farhan +2 more
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