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MTFDN: An image copy-move forgery detection method based on multi-task learning [PDF]

open access: yesExpert Systems
Image copy-move forgery, where an image region is copied and pasted within the same image, is a simple yet widely employed manipulation. In this paper, we rethink copy-move forgery detection from the perspective of multi-task learning and summarize two ...
Amir Hussain, Hang Tu
exaly   +2 more sources

Segmentation-Based Image Copy-Move Forgery Detection Scheme

open access: yesIEEE Transactions on Information Forensics and Security, 2015
In this paper, we propose a scheme to detect the copy-move forgery in an image, mainly by extracting the keypoints for comparison. The main difference to the traditional methods is that the proposed scheme first segments the test image into semantically ...
Xingming Sun, Xiaolong Li
exaly   +2 more sources

Detection of audio copy-move-forgery with novel feature matching on Mel spectrogram

Expert Systems With Applications, 2023
Guzin Ulutas   +2 more
exaly  

A novel copy-move forgery detection algorithm via two-stage filtering

Digital Signal Processing, 2021
Yanfen Gan, Junliu Zhong
exaly  

An Evaluation of Popular Copy-Move Forgery Detection Approaches

IEEE Transactions on Information Forensics and Security, 2012
Christian P Riess   +2 more
exaly  

Copy-move forgery detection: Survey, challenges and future directions

Journal of Network and Computer Applications, 2016
Kim-Kwang Raymond Choo   +2 more
exaly  

Survey on Keypoint Based Copy-move Forgery Detection Methods on Image

Procedia Computer Science, 2016
Sanjeev Jain   +2 more
exaly  

Copy-move forgery detection based on hybrid features

Engineering Applications of Artificial Intelligence, 2017
Wei Lu, Jian Weng
exaly  

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