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Passive-blind Image Forensics [PDF]
, 2006 Publisher Summary This chapter discusses passive-blind image forensics (PBIF). PBIF is concerned with two problems: image forgery detection and image source identification. Most of the image forgery detection techniques are associated to the specific image forgery creation techniques.
Tian-Tsong Ng +3 more
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Hybrid deep learning and machine learning approach for passive image forensic [PDF]
IET Image Processing, 2020 Image forgery detection using traditional algorithms takes much time to find forgeries. The new emerging methods for the detection of image forgery use a deep neural network algorithm. A hybrid deep learning (DL) and machine learning‐based approach is used in this study for passive image forgery detection.
Abhishek, Neeru Jindal
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Image Splicing Detection Scheme Using Surf and Mean-LBP Based Morphological Operations
Science Journal of University of Zakho, 2021 Tampering with images and changing them without giving any evidence has become very popular because of the presence of an enormous degree of intense altering device.
Nashat S. A. Alsandi
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Video tampering detection algorithm based on spatial constraint and gradient structure information
网络与信息安全学报, 2019 The traditional video passive forensics method using only the principle of similarity between adjacent frames will cause a lot of false detection for the video with severe motion.Aiming at this problem,a video tamper detection method combining spatial ...
Han PU +4 more
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Dual branch convolutional neural network for copy move forgery detection
IET Image Processing, 2021 The advent of digital era has seen a rise in the cases of illegal copying, distribution and forging of images. Even the most secure data channels sometimes suffer to validate the integrity of images.
Nidhi Goel, Samarjeet Kaur, Ruchika Bala
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A Novel Forgery Detection Algorithm for Video Foreground Removal
IEEE Access, 2019 Video processing software is often used to remove specific moving foreground from a video. Existing forgery algorithms for detecting this type of tampering generally suffer from inefficiency and are not effective for the forged videos under complex ...
Lichao Su, Huan Luo, Shiping Wang
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Seamless Copy–Move Replication in Digital Images
Journal of Imaging, 2022 The importance and relevance of digital-image forensics has attracted researchers to establish different techniques for creating and detecting forgeries.
Tanzeela Qazi +3 more
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Image inpainting forensics method based on dual branch network
网络与信息安全学报, 2022 Image inpainting is a technique that uses information from known areas of an image to repair missing or damaged areas of the image.Image editing software based on it has made it easy to edit and modify the content of digital images without any ...
Dengyong ZHANG, Huang WEN, Feng LI, Peng CAO, Lingyun XIANG, Gaobo YANG, Xiangling DING
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Research on Active Defense of Facial Images in Deepfakes [PDF]
ITM Web of ConferencesIn today's society, with the rapid development of generative artificial intelligence, generative adversarial network (GAN) based on deep learning, image synthesis and replacement technology of deepfake technology has reached an unprecedented degree of ...
Zhang Hanze
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Environmental forensics in groundwater coupling passive sampling and high resolution mass spectrometry for screening [PDF]
Science of The Total Environment, 2016 One of the difficulties encountered when monitoring groundwater quality is low and fluctuating concentration levels and complex mixtures of micropollutants, including emerging substances or transformation products. Combining passive sampling techniques with analysis by high resolution mass spectrometry (HRMS) should improve environmental metrology ...
Soulier, Coralie +2 more
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