Results 11 to 20 of about 1,249,257 (239)

Blind Detection of Copy-Move Forgery in Digital Audio Forensics [PDF]

open access: yesIEEE Access, 2017
Although copy-move forgery is one of the most common fabrication techniques, blind detection of such tampering in digital audio is mostly unexplored. Unlike active techniques, blind forgery detection is challenging, because it does not embed a watermark ...
Muhammad Imran   +3 more
doaj   +2 more sources

Fast copy-move forgery detection algorithm based on group SIFT [PDF]

open access: yesTongxin xuebao, 2020
Aiming at the high computational complexity of the existing copy-move image forgery detection algorithm,a copy-move forgery detection algorithm based on group scale-invariant feature transform (SIFT) was proposed.Firstly,the simple linear iterative ...
Bin XIAO   +3 more
doaj   +4 more sources

Copy-move forgery detection using binary discriminant features

open access: yesJournal of King Saud University: Computer and Information Sciences, 2022
Digital images have numerous applications in various fields such as cyber forensics, courts, newspapers, magazines, medical field and many more. Therefore, the trustfulness of the contents of an image is very essential. Image manipulation has become very
Priya Mariam Raju, Madhu S. Nair
doaj   +2 more sources

FI-SURF algorithm for image copy-flip-move forgery detection [PDF]

open access: yesTongxin 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
doaj   +4 more sources

CoMoFoD #x2014; New database for copy-move forgery detection [PDF]

open access: yes, 2013
Due to the availability of many sophisticated image processing tools, a digital image forgery is nowadays very often used. One of the common forgery method is a copy-move forgery, where part of an image is copied to another location in the same image ...
Grgic, M   +3 more
core   +4 more sources

Structural Correlation Based Method for Image Forgery Classification and Localization

open access: yesApplied Sciences, 2020
In the image forgery problems, previous works has been chiefly designed considering only one of two forgery types: copy-move and splicing. In this paper, we propose a scheme to handle both copy-move and splicing image forgery by concurrently classifying ...
Nam Thanh Pham   +2 more
doaj   +1 more source

Image Copy-Move Forgery Detection Based on Fused Features and Density Clustering

open access: yesApplied Sciences, 2023
Image copy-move forgery is a common simple tampering technique. To address issues such as high time complexity in most copy-move forgery detection algorithms and difficulty detecting forgeries in smooth regions, this paper proposes an image copy-move ...
Guiwei Fu, Yujin Zhang, Yongqi Wang
doaj   +1 more source

A review on copy-move image forgery detection techniques [PDF]

open access: yes, 2021
With billions of digital images flooding the internet which are widely used and regards as the major information source in many fields in recent years. With the high advance of technology, it may seem easy to fraud the image. In digital images, copy-move
Khudhair, Z. N.   +2 more
core   +1 more source

SMDAF: A novel keypoint based method for copy‐move forgery detection

open access: yesIET Image Processing, 2022
Copy–move forgery poses a significant threat to social life and has aroused much attention in recent years. Although many copy‐move forgery detection (CMFD) methods have been proposed, the most existing CMFD methods are short of adaptability in detecting
Guangyu Yue   +5 more
doaj   +1 more source

Keypoint based comprehensive copy‐move forgery detection

open access: yesIET Image Processing, 2021
Verifying the authenticity of a digital image has been challenging problem. The simplest of the image tampering tricks is the copy‐move forgery. In copy‐move forgery copied portion of the image is pasted on another part of the same image.
Anjali Diwan   +3 more
doaj   +1 more source

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