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Geometric transformations parameters estimation from copy-move forgery using image blobs and keypoints
A copy-move forgery is a passive tampering wherein one or more regions have been copied and pasted within the same image. Often, geometric...
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Multiple Copy-Move Forgery Detection Based on Density Clustering
AbstractWe propose a new copy-move forgery detection method, which can solve the problems of multiple copy-move forgery, low accuracy and inaccurate...
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YOLO-FORGERY: Forgery Detection in images via Deep Clifford gradient-based YOLOv4 Network
Image forgery identification is the technique of analysing and spotting any unauthorised or fraudulent adjustment in digital images. Digital images...
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Image splicing forgery detection: A review
Image splicing forgery is a prevalent form of digital image manipulation where various portions from one or multiple images are combined to create a...
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Robust copy-move detection in digital audio forensics based on pitch and modified discrete cosine transform
Copy-move forgery is one of the most widely used methods in the field of audio forensic because it is difficult to detect and convenient to apply....
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Gabor Filter and Centre Symmetric-Local Binary Pattern based technique for forgery detection in images
This paper presents a new approach for the detection of copy-move image forgery, a commonly employed technique for image manipulation. The proposed...
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RA-Net: A Deep Learning Approach Based on Residual Structure and Attention Mechanism for Image Copy-Move Forgery Detection
To reduce the difficulty of image forensics on forgery images, in this paper, we present an efficient end-to-end deep learning approach using...
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Detection of Copy-Move Forgery in Digital Image Using Multi-scale, Multi-stage Deep Learning Model
Images are an important source of information and copy-move forgery (CMF) is one of the vicious forgery attacks. Its objective is to conceal...
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A survey on digital image forensic methods based on blind forgery detection
In the current digital era, images have become one of the key channels for communication and information. There are multiple platforms where digital...
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Audio forgery detection and localization with super-resolution spectrogram and keypoint-based clustering approach
Malicious individuals can modify speech recordings with advanced audio editing software to create forged audio. The most common forgery method, known...
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Improved copy move forgery detection method via L*a*b* color space and enhanced localization technique
The wide availability of easy-to-use image editors has made the authenticity of images questionable. Copy-move is one of the most applied forgery...
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Non-overlap** block-level difference-based image forgery detection and localization (NB-localization)
With advent of digital devices, we are surrounded by many digital images. We usually believe on digital images in whatever form presented to us....
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Blind forgery detection using enhanced mask-region convolutional neural network
This work proposes a DL model for locating and classifying the forgery images. The proposed work has stages like pre-processing, feature extraction,...
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A sequential convolutional neural network for image forgery detection
In this digital era, images are the major information carriers of contemporary society. Several multimedia manipulation tools like CorelDRAW, GIMP,...
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Copy-move tampering detection using keypoint based hybrid feature extraction and improved transformation model
Digitally tampered images or fake images when propagated across the Web and social media, have the power to mislead, emotionally distress and...
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A comprehensive survey on state-of-the-art video forgery detection techniques
Video plays a key role in carrying authenticity, especially in the surveillance system, medical field, court evidence, journalism, and social media...
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Image forgery detection: a survey of recent deep-learning approaches
In the last years, due to the availability and easy of use of image editing tools, a large amount of fake and altered images have been produced and...
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Image forgery detection in forensic science using optimization based deep learning models
Image forgery detection has become a hot research topic in security and forensics applications. Keypoints (KPs) based image forgery detection...
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Video motion forgery detection using motion residual and object tracking
Due to the extensive application of the video editing tools, video authentification has become an interesting topic. Video motion forgery is one of...
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Copy-move forgery detection using image blobs and BRISK feature
One of the most frequently used types of digital image forgery is copying one area in the image and pasting it into another area of the same image;...
