Results 21 to 30 of about 499 (253)

Copy-move forgery detection via texture description [PDF]

open access: yesProceedings 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
openaire   +2 more sources

Blind Detection of Copy-Move Forgery in Digital Audio Forensics

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   +1 more source

Copy-Move Forgery Detection Techniques based on Traditional Methods in Digital Images

open access: yesتحلیل مدارها، داده ها و سامانه ها, 2023
Image forgery is one of the most widely used fields in image processing, which has been widely studied and studied by researchers. There are different types of digital image forgery, copy-move forgery is one of the common examples, and it is very ...
Maryam Attaie Gahfarkhi   +1 more
doaj  

Copy Move Forgery Detection with Quadtree Decomposition Segmentation

open access: yes2020 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
openaire   +2 more sources

The detection of copy move forgery image methodologies

open access: yesMeasurement: 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
doaj   +1 more source

Copy move forgery detection using key point localized super pixel based on texture features [PDF]

open access: yesКомпьютерная 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
doaj   +1 more source

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   +1 more source

Copy-Move Forgery Verification in Images Using Local Feature Extractors and Optimized Classifiers

open access: yesBig 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
doaj   +1 more source

Convolutional Neural Network for Copy-Move Forgery Detection [PDF]

open access: yesSymmetry, 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
openaire   +2 more sources

Detection of copy-move forgery in digital images using genetic algorithm and simulating annealing algorithm [PDF]

open access: yesپژوهش‌های نظری و کاربردی هوش ماشینی
In copy-move forgery a part of the image is copied and transferredto another location in the same image. This is done with the aim ofhiding certain details from the image or duplicating special effectsin the image.
Fatemeh Zare Mehrjardi   +1 more
doaj   +1 more source

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