Results 11 to 20 of about 499 (253)

Copy-move forgery detection based on convolutional kernel network [PDF]

open access: yesMultimedia Tools and Applications, 2017
26 pages, 8 figures, submitted to Multimedia Tools and ...
Qingxiao Guan   +2 more
exaly   +3 more sources

Unveiling Copy-Move Forgeries: Enhancing Detection With SuperPoint Keypoint Architecture

open access: yesIEEE Access, 2023
The authentication of digital images poses a significant challenge due to the wide range of image forgery techniques employed, with one notable example being a copy-move forgery.
Anjali Diwan   +4 more
doaj   +1 more source

Method for Image Forgery Detection Based on Deformable Self-Correlation Network [PDF]

open access: yesJisuanji gongcheng, 2021
The deep learning-based copy-move forgery detection methods ignore the spatial layout of the features, leading to a reduction in the detection performance for small-region forgery samples.Additionally,the fixed size of the receptive fields in ...
LIANG Peng, WU Yuting, ZHAO Huimin, LI Chunying, HE Wa, LI Shaofa
doaj   +1 more source

On rotation invariance in copy-move forgery detection [PDF]

open access: yes2010 IEEE International Workshop on Information Forensics and Security, 2010
The goal of copy-move forgery detection is to find duplicated regions within the same image. Copy-move detection algorithms operate roughly as follows: extract blockwise feature vectors, find similar feature vectors, and select feature pairs that share highly similar shift vectors.
Vincent Christlein   +2 more
openaire   +1 more source

An Efficient CNN Model to Detect Copy-Move Image Forgery

open access: yesIEEE Access, 2022
Recently, digital images have become used in many applications, where they have become the focus of digital image processing researchers. Image forgery represents one hot topic on which researchers prioritize their studies.
Khalid M. Hosny   +3 more
doaj   +1 more source

Structural Correlation Based Method for Image Forgery Classification and Localization

open access: yesApplied Sciences, 2020
In the image forgery problems, previous works has been chiefly designed considering only one of two forgery types: copy-move and splicing. In this paper, we propose a scheme to handle both copy-move and splicing image forgery by concurrently classifying ...
Nam Thanh Pham   +2 more
doaj   +1 more source

Image Copy-Move Forgery Detection Based on Fused Features and Density Clustering

open access: yesApplied Sciences, 2023
Image copy-move forgery is a common simple tampering technique. To address issues such as high time complexity in most copy-move forgery detection algorithms and difficulty detecting forgeries in smooth regions, this paper proposes an image copy-move ...
Guiwei Fu, Yujin Zhang, Yongqi Wang
doaj   +1 more source

SMDAF: A novel keypoint based method for copy‐move forgery detection

open access: yesIET Image Processing, 2022
Copy–move forgery poses a significant threat to social life and has aroused much attention in recent years. Although many copy‐move forgery detection (CMFD) methods have been proposed, the most existing CMFD methods are short of adaptability in detecting
Guangyu Yue   +5 more
doaj   +1 more source

An Optimal Hybrid Method to Detect Copy-move Forgery [PDF]

open access: yesJournal of Artificial Intelligence and Data Mining, 2023
Image is a powerful communication tool that is widely used in various applications, such as forensic medicine and court, where the validity of the image is crucial. However, with the development and availability of image editing tools, image manipulation
Fatemeh Zare mehrjardi   +2 more
doaj   +1 more source

Copy Move and Splicing Image Forgery Detection using CNN [PDF]

open access: yesITM Web of Conferences, 2022
The boom of digital images coupled with the development of approachable image manipulation software has made image tampering easier than ever. As a result, there is massive increase in number of forged or falsified images that represent incorrect or ...
Mallick Devjani   +3 more
doaj   +1 more source

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