Results 11 to 20 of about 499 (253)
Copy-move forgery detection based on convolutional kernel network [PDF]
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
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]
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]
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
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
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
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
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]
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]
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

