Machine learning in digital forensics: a systematic literature review
T Nayerifard, H Amintoosi, AG Bafghi… - arXiv preprint arXiv …, 2023 - arxiv.org
Development and exploitation of technology have led to the further expansion and
complexity of digital crimes. On the other hand, the growing volume of data and …
complexity of digital crimes. On the other hand, the growing volume of data and …
Copy move forgery detection and segmentation using improved mask region-based convolution network (RCNN)
Copy-move forgery (CMF) is a common image manipulation approach that uses the
information from the same sample to manipulate it with the intent of hiding the required …
information from the same sample to manipulate it with the intent of hiding the required …
An efficient copy move forgery detection using adaptive watershed segmentation with AGSO and hybrid feature extraction
S Tinnathi, G Sudhavani - Journal of Visual Communication and Image …, 2021 - Elsevier
Copy-move forgery detection (CMFD) is the process of determining the presence of copied
areas in an image. CMFD approaches are mainly classified into two groups: keypoint-based …
areas in an image. CMFD approaches are mainly classified into two groups: keypoint-based …
Low dimensional DCT and DWT feature based model for detection of image splicing and copy-move forgery
Digital images are being used as a prominent carrier of visual information in this age of
digitization. Images become more and more omnipresent in everyday life. The images can …
digitization. Images become more and more omnipresent in everyday life. The images can …
Image splicing forgery detection techniques: A review
The authenticity of digital images is openly challenged today due to the easy availability of
various advanced image editing software. The semantic meaning of an image can be …
various advanced image editing software. The semantic meaning of an image can be …
Efficient image splicing detection algorithm based on markov features
Image splicing is one of the most common methods for digital image tampering. In this
paper, an efficient Markov features based algorithm is proposed for image splicing detection …
paper, an efficient Markov features based algorithm is proposed for image splicing detection …
A passive approach for the detection of splicing forgery in digital images
With the technology progress, a plethora of freely accessible software has questioned the
authenticity of digital images. This field is continuously creating challenges for researchers …
authenticity of digital images. This field is continuously creating challenges for researchers …
Deep learning on digital image splicing detection using CFA artifacts
NY Hussien, RO Mahmoud, HH Zayed - International Journal of …, 2020 - igi-global.com
Digital image forgery is a serious problem of an increasing attention from the research
society. Image splicing is a well-known type of digital image forgery in which the forged …
society. Image splicing is a well-known type of digital image forgery in which the forged …
Adaptive partitioning‐based copy‐move image forgery detection using optimal enabled deep neuro‐fuzzy network
G Mariappan, AR Satish, PVB Reddy… - Computational …, 2022 - Wiley Online Library
The emergence of photo editing applications, like Adobe Photoshop, has manipulated the
operation of digital images into a simple task. However, these manipulations of images …
operation of digital images into a simple task. However, these manipulations of images …
Machine learning based image forgery detection using natural scene statistics
A copy-move image forgery is the most common type of image tampering. It can be done by
copying a part of an image and paste on another part of the same image. Therefore, it can …
copying a part of an image and paste on another part of the same image. Therefore, it can …