Results 41 to 50 of about 81,144 (285)
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
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
Convolutional Neural Network for Copy-Move Forgery Detection [PDF]
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
Detecting and Localizing Copy-Move and Image-Splicing Forgery
In the world of fake news and deepfakes, there have been an alarmingly large number of cases of images being tampered with and published in newspapers, used in court, and posted on social media for defamation purposes. Detecting these tampered images is an important task and one we try to tackle.
Aditya Pandey, Anshuman Mitra
openaire +2 more sources
ABSTRACT Background An internal tandem duplication in the gene encoding Fms‐like tyrosine kinase 3 (FLT3‐ITD) is associated with high relapse risk and poor prognosis in acute myeloid leukemia (AML) and plays a crucial role in treatment decisions. Measurable residual disease (MRD) analysis of FLT3‐ITD during and after treatment has shown prognostic ...
Sofie Johansson Alm +11 more
wiley +1 more source
Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe +3 more
wiley +1 more source
The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li +2 more
wiley +1 more source
CNN-Based Copy-Move Forgery Detection Using Rotation-Invariant Wavelet Feature
This paper introduces a machine learning based copy-move forgery (CMF) localization method. The basic convolutional neural network cannot be applied to CMF detection because CMF frequently involves rotation transformation.
Sang In Lee, Jun Young Park, Il Kyu Eom
doaj +1 more source
Copy-move image forensics detection
The problem of constructing a complex calculation procedure of remote sensing data authentication using a set of basic algorithms for authentication is considered in this paper. This problem is solved according to the passive approach of data authentication, which assumes that artificial changes detection (forgeries detection) based on remote sensing ...
A. Kuznetsov, V. Myasnikov
openaire +1 more source
CoMoFoD #x2014; New database for copy-move forgery detection [PDF]
Due to the availability of many sophisticated image processing tools, a digital image forgery is nowadays very often used. One of the common forgery method is a copy-move forgery, where part of an image is copied to another location in the same image ...
Grgic, M +3 more
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