Results 21 to 30 of about 414 (250)
The detection of copy move forgery image methodologies
Measurement: Sensors, 2023 In every area that uses digital photos, image security is a major concern. Photos of suspects, crime scene photos, biometric photographs, and other images have long been used in forensic investigations and public safety.
Shahad Lateef abdulwahid
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Copy-move forgery detection using binary discriminant features
Journal 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
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Copy move forgery detection using key point localized super pixel based on texture features [PDF]
Компьютерная оптика, 2019 The most important barrier in the image forensic is to ensue a forgery detection method such can detect the copied region which sustains rotation, scaling reflection, compressing or all.
C. Rajalakshmi +2 more
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Copy-move forgery detection via texture description [PDF]
Proceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence, 2010 Copy-move forgery is one of the most common type of tampering in digital images. Copy-moves are parts of the image that are copied and pasted onto another part of the same image. Detection methods in general use block-matching methods, which first divide the image into overlapping blocks and then extract features from each block, assuming similar ...
ARDIZZONE, Edoardo +2 more
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Copy-Move Forgery Verification in Images Using Local Feature Extractors and Optimized Classifiers
Big Data Mining and Analytics, 2023 Passive image forgery detection methods that identify forgeries without prior knowledge have become a key research focus. In copy-move forgery, the assailant intends to hide a portion of an image by pasting other portions of the same image. The detection
S. B. G. Tilak Babu, Ch Srinivasa Rao
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Journal of King Saud University: Computer and Information Sciences, 2021 Copy-move image forgery detection has become a significant research subject in multimedia forensics and security due to its widespread use and its hard detection.
Aya Hegazi, Ahmed Taha, Mazen M. Selim
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Copy Move Forgery Detection with Quadtree Decomposition Segmentation
2020 43rd International Conference on Telecommunications and Signal Processing (TSP), 2020 The increasing usage of digital images and the wide availability of easy-to-use image editors have made the authenticity of images questionable. Copy-move is one of the most applied forgery types. The keypoint-based copy move forgery detection methods in the literature cannot detect forgeries with smooth regions. In this paper to overcome this problem,
Gul Muzaffer +2 more
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Fast copy-move forgery detection algorithm based on group SIFT
Tongxin 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
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Jurnal Nasional Teknik Elektro, 2016 This article discusses a new method for the detection of forgery images generated by copy-move technique. Copy-move technique is one of image forgery techniques which taking a particular object from its original image and add it on that image for the ...
Zulfan, Fitri Arnia, Rusdha Muharar
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Convolutional Neural Network for Copy-Move Forgery Detection [PDF]
Symmetry, 2019 Digital image forgery is a growing problem due to the increase in readily-available technology that makes the process relatively easy. In response, several approaches have been developed for detecting digital forgeries. This paper proposes a novel scheme based on neural networks and deep learning, focusing on the convolutional neural network (CNN ...
Younis E. Abdalla +2 more
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