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A comprehensive taxonomy on multimedia video forgery detection techniques: challenges and novel trends
Thousands of videos are posted on websites and social media every day, including Twitter, Facebook, WhatsApp, Instagram, and YouTube. Newspapers, law...
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Detection of background forgery using a two-stream convolutional neural network architecture
In this paper, a novel two-stream convolutional neural network (CNN) method is proposed to determine whether or not the background 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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Multiple forgery detection in digital video with VGG-16-based deep neural network and KPCA
The amount of video data is growing exponentially on a daily basis. Easily available software or mobile applications offer simple tools to perform...
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Deep learning-based efficient and robust image forgery detection
The identification of the tampered images is the research area of digital forensics, which defines the manipulation in the image. This is easily...
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Face forgery detection via optimum deep convolution activation feature selection algorithm using expert-generated images
The recent face forgery detection models have shown better accuracy for in-house generated and altered face image datasets. Therefore, the results of...
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Copy-paste forgery detection using deep learning with error level analysis
Image manipulation has become a common problem due to the tremendous growth of digital tools and applications. Several image forgeries can...
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Robust and effective multiple copy-move forgeries detection and localization
Copy-move (or copy-paste or cloning) is one of the most common image forgeries, wherein one or more region are copied and pasted within the same...
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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...
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Design of an academic document forgery detection system
Advances in digital technology and communication are reducing the popularity of physical or paper-based documents, particularly in the official...
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Copy-Move Image Forgery Detection Using Spatio-Structured SIFT Algorithm
Copy-move image forgery detection (CMIFD) via SIFT algorithm is one of the emerging and effective key-point based strategies. This algorithm is...
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Copy-Move Image Forgery Detection Using Discrete Wavelet Transform
To expressing visual information Digital images play a significant role. On social media this information in form of digital image is continually...
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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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Source-destination discrimination on copy-move forgeries
Since digital images are one of the most important carriers of information, their authenticity is quite important. There are miscellaneous forgery...
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Multiple forgery detection in digital video based on inconsistency in video quality assessment attributes
With the enormous development of video capture, sharing, and editing tools, the authenticity and correctness of videos are under threat. Videos...
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Copy-move forgery detection technique based on discrete cosine transform blocks features
With the increasing number of software applications that allow altering digital images and their ease of use, they weaken the credibility of an...
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An improved block based copy-move forgery detection technique
With the increase in demand for identification of authenticity of the digital images, researchers are widely studying the image forgery detection...
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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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An improved detection of blind image forgery using hybrid deep belief network and adaptive fuzzy clustering
Blind image forgery prediction in the field of image forgery is difficult. Hence, it is the major attention for the investigators recently. This work...
