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A comparative analysis of image copy-move forgery detection algorithms based on hand and machine-crafted features

Ismail Taha Ahmed, Baraa Tareq Hammad, Norziana Jamil
2021 Indonesian Journal of Electrical Engineering and Computer Science  
In the copy-move forgery, the basic process is copy/paste from one area to another in the same image.  ...  In general, copy-move forgery, also referred to as replication, is the most common of the various kinds of passive image forgery techniques.  ...  Figure 2 . 2 (a) Original image, (b) copy-move image forgery [1] Figure 3 . 3 Image forgery detection techniques taxonomy Figure 4 . 4 General architecture of image forgery detection techniques  ... 
doi:10.11591/ijeecs.v22.i2.pp1177-1190 fatcat:6aowa56d5jek5h424mk6ozwvcy

Seamless Copy–Move Replication in Digital Images

Tanzeela Qazi, Mushtaq Ali, Khizar Hayat, Baptiste Magnier
2022 Journal of Imaging  
The core category in passive image forgery is copymove image forgery that affects the originality of image by applying a different transformation.  ...  The purpose of this research work is to create a forgery and highlight the need to produce forgery detection methods that are robust against malicious copymove forgery.  ...  Another copy-move forgery detection algorithm for color images is based on sensor pattern noise (SPN) [31] . Pattern noise is extracted by using the wavelet-based Wieners denoising filter.  ... 
doi:10.3390/jimaging8030069 pmid:35324624 pmcid:PMC8954403 fatcat:ryeay6hygzgx7h4qhsohi2j6ui

Seamless Copy Move Manipulation in Digital Images [article]

Tanzila Qazi, Mushtaq Ali, Khizar Hayat
2021 arXiv   pre-print
The core category in passive image forgery is copy-move image forgery that affects the originality of image by applying a different transformation.  ...  The purpose of this research work is to create the forgery and highlight the need to produce forgery detection methods that are robust against the malicious copy-move forgery.  ...  The method relies on plain copy move forgery i.e a part of image is copied or replicated in a same image without applying any type of post processing operation.  ... 
arXiv:2110.05747v1 fatcat:gfqz6sznqvbsjduwb2aajosvpm

An Enhanced Hybrid Method based on Local and Frequency Feature Extraction for Image Copy Move Forgery Detection

Shirin Nayerdinzadeh, Mohammad Reza Yousefi
2021 Majlesi journal of electrical engineering  
In this paper, an enhanced hybrid method based on local and frequency feature extraction is presented for image copy move forgery detection, which has a very high resistance to above challenges, both individually  ...  One of the most common ways to forge images is copy move forgery, in which one part of the image is copied and pasted in another part of the same image.  ...  [16] , presented a copy-move image forgery detection technique based on Tetrolet transform. The results indicated that the proposed method is resistant to rotation, scaling, and JPEG compression.  ... 
doi:10.52547/mjee.15.3.69 fatcat:xmufcpi32jfjxdfpsaawvggue4

Copy Move Forgery Detection Techniques: A Comprehensive Survey of Challenges and Future Directions

Ibrahim A. Zedan, Mona M. Soliman, Khaled M. Elsayed, Hoda M. Onsi
2021 International Journal of Advanced Computer Science and Applications  
Copy-move forgery detection (CMFD) has currently become an active research topic in the passive/blind image forensics field.  ...  Digital Image Forensics is a growing field of image processing that attempts to gain objective proof of the origin and veracity of a visual image.  ...  This survey focuses on the passive forensic techniques proposed for copy-move forgery detection (CMFD) because CMF is a very challenging and popular forgery type.  ... 
doi:10.14569/ijacsa.2021.0120729 fatcat:5kebiko6ojg3ppcp7htl5nnrrq

Copy-Move Forgery Detection (CMFD) Using Deep Learning for Image and Video Forensics

Yohanna Rodriguez-Ortega, Dora M. Ballesteros, Diego Renza
2021 Journal of Imaging  
One of the most common types of image and video editing consists of duplicating areas of the image, known as the copy-move technique.  ...  In contrast, approaches based on deep learning have shown better performance and promising results, but they present generalization problems with a high dependence on training data and the need for appropriate  ...  In particular, the copy-move technique copies a part of an image and then pastes it into the same image [2] .  ... 
doi:10.3390/jimaging7030059 pmid:34460715 pmcid:PMC8321314 fatcat:2c4engblsrdj3dyjvbbhoy4rri

Design of Automated Deep Learning-Based Fusion Model for Copy-Move Image Forgery Detection

N Krishnaraj, B Sivakumar, Ramya Kuppusamy, Yuvaraja Teekaraman, Amruth Ramesh Thelkar
With this in mind, this article provides an automated deep learning-based fusion model for detecting and localizing copy-move forgeries (DLFM-CMDFC).  ...  Traditional picture- and video-editing techniques include copying areas of the image, referred to as the copy-move approach.  ...  Especially, the copy-move techniques copy a portion of the image and paste it onto similar images [2] .  ... 
doi:10.1155/2022/8501738 pmid:35140780 pmcid:PMC8820863 fatcat:dtc7mk2n5rfqjcivdfka2ujl5e