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Image forgery techniques: a review
Image forensics is an investigation of digital images to identify manipulations that have been done on them. Nowadays, due to the availability of...
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Image Forgery Detection Using Cryptography and Deep Learning
The advancement of technology has undoubtedly exposed everyone to a remarkable array of visual imagery. Nowadays, digital technology is eating away...
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A hybrid copy-move image forgery detection technique based on Fourier-Mellin and scale invariant feature transforms
In digital images, the most common forgery is copy-move image forgery in which some region(s) of an image is replicated within the image. The...
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Localization and Detection of Copy-Move Forgeries in Post-processed Images Using U-Net
Identification and localization of forgeries in images is of great importance in the field of image processing. Many methods have been introduced to...
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Copy-move forgery detection based on adaptive keypoints extraction and matching
Copy-move (region duplication) is one of the most common types of image forgeries, in which at least one part of an image is copied and pasted onto...
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Chroma key foreground forgery detection under various attacks in digital video based on frame edge identification
Chroma key foreground forgery is the most common forgery to manipulate the contents of a digital video. This kind of video can be presented in courts...
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A copy-move image forgery detection technique based on Gaussian-Hermite moments
Images are one of the most prominently used digital information sharing medium now a days. Due to availability of state-of-the-art image editing...
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A Copy and Move Image Forged Classification by Using Hybrid Neural Networks
Hybrid Neural networks decision tree (HNN-DT) based algorithm was discussed in this article to achieve an efficient detection of image classification...
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A Novel Approach of Fragile Watermarking for Authentication and Tamper Detection Exploiting Local Binary Pattern (LBP)
Data communication and transmission through internet has been rapidly increased now a days specially during and after COVID-19 pandemic situation....
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A ConvNet Based Procedure for Image Copy-Move Forgery Detection
Copy-Move forgery is one of the popular image tempering procedure. In which the forger modifies the original image by creating multiple instances of...
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Reviewing Image Data: Detecting Forgery Using a Robust Forensic Method
Over the past two decades, the Internet or web components, simply becoming acquainted with modern digital technology, have made the world more...
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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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Detection of tampered real time videos using deep neural networks
In recent years, there has been a significant increase in the creation and sharing of videos that promote the utilization of digitally interactive...
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Image forgery detection using image similarity
Ideally, sophisticated image forgery methods leave no perceptible evidence of tampering. In response to such stringent context, researchers have...
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A comprehensive survey of image and video forgery techniques: variants, challenges, and future directions
With the advent of Internet, images and videos are the most vulnerable media that can be exploited by criminals to manipulate for hiding the evidence...
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A Super Feature Transform for Small-Size Image Forgery Detection
In this digital era, we have a wide variety of image editing software that is prone to create malicious alterations on images. Hence, the evaluation...
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DCU-Net: a dual-channel U-shaped network for image splicing forgery detection
The detection and location of image splicing forgery are a challenging task in the field of image forensics. It is to study whether an image contains...
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Copy move forgery detection based on keypoint and patch match
Copy move has become a simple and effective operation for image forgeries due to the advancement of image editing software, which is still...
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Copy-Move Image Forgery Detection Using DCT and ORB Feature Set
The unprecedented use of digital images and videos for communication, the ease of access and use of graphic editing applications have consequently...
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A Dual-Stream Input Faster-CNN Model for Image Forgery Detection
With the development of multimedia technology, the difficulty of image tampering has been reduced in recent years. Propagation of tampered images...