A New Copy Move Forgery Detection Technique using Adaptive Over-segementation and Feature Point Matching [PDF]
, 2018 With the development of Image processing editing tools and software, an image can be easily manipulated. The image manipulation detection is vital for the reason that an image can be used as legal evidence, in the field of forensics investigations, and ...
Gupta, Anil
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Camera-based Image Forgery Localization using Convolutional Neural Networks
, 2018 Camera fingerprints are precious tools for a number of image forensics tasks. A well-known example is the photo response non-uniformity (PRNU) noise pattern, a powerful device fingerprint.
Cozzolino, Davide, Verdoliva, Luisa
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Localization of JPEG double compression through multi-domain convolutional neural networks [PDF]
, 2017 When an attacker wants to falsify an image, in most of cases she/he will perform a JPEG recompression. Different techniques have been developed based on diverse theoretical assumptions but very effective solutions have not been developed yet.
Amerini, Irene +3 more
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FI-SURF algorithm for image copy-flip-move forgery detection
Tongxin xuebao, 2015 FI-SURF (flip invariant SURF) algorithm was proposed,for the consideration of the copy-move forgery detec-tion of digital images.The arrangement of the SURF (speeded-up robust features) descriptor after image flip was studied.After extract the SURF ...
IYan L +4 more
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Copy Move Image Forgery Detection using Multi-Level Local Binary Pattern Algorithm
Journal of EngineeringDigital image manipulation has become increasingly prevalent due to the widespread availability of sophisticated image editing tools. In copy-move forgery, a portion of an image is copied and pasted into another area within the same image.
Marwa Emad Mahdi, Nada Hussein M Ali
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Copy move Forgery Detection Approaches: A Survey [PDF]
, 2015 Copy-move forgery detection is one of the most popular image forgery technique in which a part of a digital image is copied and pasted to another part in the same image with the intension to make an object “disappear†from the image by covering it ...
Chanu, Thounaojam Angaleima +2 more
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A reliable order-statistics-based approximate nearest neighbor search algorithm
, 2016 We propose a new algorithm for fast approximate nearest neighbor search based on the properties of ordered vectors. Data vectors are classified based on the index and sign of their largest components, thereby partitioning the space in a number of cones ...
Cozzolino, Davide +2 more
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Dual branch convolutional neural network for copy move forgery detection
IET Image Processing, 2021 The advent of digital era has seen a rise in the cases of illegal copying, distribution and forging of images. Even the most secure data channels sometimes suffer to validate the integrity of images.
Nidhi Goel, Samarjeet Kaur, Ruchika Bala
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Methodology for Evidence Reconstruction in Digital Image Forensics [PDF]
, 2013 This paper reveals basics of Digital (Image) Forensics. The paper describes the ways to manipulate image, namely, copy-move forgery (copy region in image & paste into another region in same image), image splicing (copy region in image & paste ...
Bartere, M.M., Manudhane, Kalpana
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A PatchMatch-based Dense-field Algorithm for Video Copy-Move Detection and Localization
, 2017 We propose a new algorithm for the reliable detection and localization of video copy-move forgeries. Discovering well crafted video copy-moves may be very difficult, especially when some uniform background is copied to occlude foreground objects.
Huang, Dawei +4 more
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