Results 41 to 50 of about 9,242 (179)
Thanks to advanced audio editing software, speech recordings can be tampered with very quickly. If the speech recordings are used as forensic evidence, adding the audio recordings together, cutting them, and changing their content are legally ...
Beste Ustubioglu
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False Matches Removing in Copy-Move Forgery Detection Algorithms
Today the technology age is characterized by spreading of digital images. The most common form of transfer the information in magazines, newspapers, scientific journals and all types of social media.
muthana salih mahdi, Saad N. Alsaad
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Copy-Move Image Forgery Detection a Review [PDF]
Due to the availability of various image processing tools forgery over an image can be performed very easily but very difficult to identify. In copy-move forgery, a segment is copied from the original image and pasted at some other location on the same image to hide significant objects of image or to bring additional information which is originally not
Anuja Dixit, R. K. Gupta
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CNN-Keypoint Based Two-Stage Hybrid Approach for Copy-Move Forgery Detection
Authenticating digital images poses a significant challenge due to the widespread use of image forgery techniques, including copy-move forgery. Copy-move forgery involves copying and pasting portions of an image within the same image while applying ...
Anjali Diwan, Anil K. Roy
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The problem of forged images has become a global phenomenon that is spreading mainly through social media. New technologies have provided both the means and the support for this phenomenon, but they are also enabling a targeted response to overcome it ...
Younis Abdalla +2 more
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Robust Copy-move Forgery Detection through Invariant Moment Features [PDF]
The proposed scheme uses the invariant features extracted from each block to detect the copy-move forgery detection regions in a digital image. In the proposed scheme, an image is first divided into overlapping blocks.
Chen, Chien-Chang
core
Increased popularity of digital media and image editing software has led to the spread of multimedia content forgery for various purposes. Undoubtedly, law and forensic medicine experts require trustworthy and non-forged images to enforce rights.
A. Fattahi, S. Emadi
doaj
Dual branch convolutional neural network for copy move forgery detection
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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CoMoFoD #x2014; New database for copy-move forgery detection [PDF]
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
Copy Move Forgery Detection on Digital Images
scenario forging of the Digital images has become a common phenomena. The availability of low cost manipulation software also boost to this practice. The foremost practice of manipulating the digital images employed by the most forgerer is the copy move forgery.
Nishi Goel, Ashish Oberoi, Ruchita Singh
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