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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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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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Block-level double JPEG compression detection for image forgery localization
Forged images in JPEG format have a ubiquitous presence in today’s world due to the ease of availability of image manipulation tools. This paper...
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Video forgery detection and localization using optimized attention squeezenet adversarial network
Video forgery (VF) is manipulating fake videos by modifying, coordinating or generating new content in the video sequence. The generated fake videos...
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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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Copy–move forgery detection in digital image forensics: A survey
The detection of copy-move forgeries has been of utmost relevance in the field of digital image forensics because of the explosive growth of image...
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Convolutional block attention based network for copy-move image forgery detection
Computer-generated picture forgery is a growing problem due to the development of easily available technology that makes the forging procedure very...
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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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Comprint: Image Forgery Detection and Localization Using Compression Fingerprints
Manipulation tools that realistically edit images are widely available, making it easy for anyone to create and spread misinformation. In an attempt...
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Survey on image copy-move forgery detection
In this digital era, a huge amount of images are flooding the internet, which is extensively used for digital communications, and are also regarded...
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ERINet: efficient and robust identification network for image copy-move forgery detection and localization
Images can be maliciously manipulated to hide content or duplicate certain objects. Detecting an elaborate copy-move forgery is very challenging for...
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A hybrid SWT-SVD based multiresolution features for robust image copy-move forgery detection
The copy-move forgery technique is the most commonly exercised among different image tampering techniques. In this approach, some part of an image is...
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Enhanced blind image forgery detection using an accurate deep learning based hybrid DCCAE and ADFC
Currently, digital images are easily manipulated using different image editing tools, and they are difficult to detect. Forgery detection is a hot...
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Joint manipulation trace attention network and adaptive fusion mechanism for image splicing forgery localization
Splicing forgery, which manipulates images by copying regions from donor images and pasting them to host images, is one of the common types of image...
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FAST, BRIEF and SIFT based image copy-move forgery detection technique
Easily accessible image-editing softwares have fueled the need for better forgery detection schemes that can overcome the limitedness of human vision...
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Accurate and robust image copy-move forgery detection using adaptive keypoints and FQGPCET-GLCM feature
With the rapid development of image editing software, forged images have become a serious social problem because of their great destructiveness....
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APFL: Active-Passive Forgery Localization for Medical Images
Medical image forgery has become an urgent issue in academia and medicine. Unlike natural images, images in the medical field are so sensitive that...
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Bi-stream Multiscale Hamhead Networks with Contrastive Learning for Image Forgery Localization
The purpose of image forgery localization task is to localize and segment forgery regions from a forgery image. Traditional forgery localization...
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A two-stage forgery detection and localization framework based on feature classification and similarity metric
The data transfer in various forms, such as text, images, videos, etc., using the internet has become a routine exercise. Significant technological...
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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...
