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Random Matrix Theory for Modeling the Eigenvalue Distribution of Images Under Upscaling
[chapter]
2017
Communications in Computer and Information Science
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By considering this model, we apply random matrix theory to analytically derive the asymptotic eigenvalue distribution of causal 2D-AR random fields that have undergone an upscaling operation with a particular ...
The stochastic representation of digital images through a two-dimensional autoregressive (2D-AR) model offers a proper way to approximate the empirical distribution of the eigenvalues coming from genuine ...
This work is funded by the Agencia Estatal de Investigación (Spain) and the European Regional Development ...
doi:10.1007/978-3-319-67639-5_10
fatcat:f2k5rww46ncdnbvp6efvuan7uq
Revealing Traces of Image Resampling and Resampling Antiforensics
2017
Advances in Multimedia
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Image resampling is a common manipulation in image processing. The forensics of resampling plays an important role in image tampering detection, steganography, and steganalysis. ...
Experiments on a large image database show that the proposed detector is effective and secure. ...
This approach applied attacks to the low and high frequency components of the resampled image. ...
doi:10.1155/2017/7130491
fatcat:j4bcqx5mefgmlcut5qr4svou6e
Optimization-Driven Kernel and Deep Convolutional Neural Network for Multi-View Face Video Super Resolution
2020
International Journal of Digital Crime and Forensics
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Image enhancement methods play a significant role in enhancing the resolution of the video. ...
to be the best when compared to other existing techniques with an improved SDME value of 80.888. ...
Figure 4 . 4 Experimental outputs of the proposed face SR technique: (a) Input video frame; (b) SR output
Figure 5 . 5 SDME analysis based on upscaling factor for: (a) Video 1; (b) Video 2; (c) Video ...
doi:10.4018/ijdcf.2020070106
fatcat:llmckc3pcrdrpbtjxmbm6x2no4
Derivation of the Asymptotic Eigenvalue Distribution for Causal 2D-AR Models under Upscaling
[article]
2017
arXiv
pre-print
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Specifically, it tackles the analytical derivation of the asymptotic eigenvalue distribution of the sample autocorrelation matrix corresponding to genuine and upscaled images. ...
It also includes the pseudocode of the derived approaches for resampling detection and resampling factor estimation that are based on this analysis. ...
II-A], we use an N × N matrix Y generated as in [1, Eq. 2] to represent an upscaled image. ...
arXiv:1704.05773v1
fatcat:zxni6fwg35afdmlvjpnwbzjskm
GRAFT: Unsupervised Adaptation to Resizing for Detection of Image Manipulation
2020
IEEE Access
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A large number of methods for forensics of image manipulation relies on detecting fingerprints in residuals or noises. ...
This performance loss due to pre-resizing could be troublesome but has been rarely investigated in the image forensics field. ...
ACKNOWLEDGMENT The authors would like to thank Dr. Patrick Bas for the discussions on cover-source mismatch for steganalysis [4] and Dr. ...
doi:10.1109/access.2020.2980992
fatcat:ucx37j3pxfeenmlvyqz3mzodje
Fast and reliable resampling detection by spectral analysis of fixed linear predictor residue
2008
Proceedings of the 10th ACM workshop on Multimedia and security - MM&Sec '08
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This paper revisits the state-of-the-art resampling detector, which is based on periodic artifacts in the residue of a local linear predictor. ...
Inspired by recent findings from the literature, we take a closer look at the complex detection procedure and model the detected artifacts in the spatial and frequency domain by means of the variance of ...
Amongst others, resampling detection has become a standard tool for the forensic analysis of digital images. ...
doi:10.1145/1411328.1411333
dblp:conf/mmsec/Kirchner08
fatcat:jbsmouawyfelpaivtukt7jruyu
Recent Advances in Digital Image and Video Forensics, Anti-forensics and Counter Anti-forensics
[article]
2024
arXiv
pre-print
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Image and video forensics have recently gained increasing attention due to the proliferation of manipulated images and videos, especially on social media platforms, such as Twitter and Instagram, which ...
However, media forgery detection techniques are susceptible to anti-forensics; on the other hand, such anti-forensics techniques can themselves be detected. ...
a frame to another video frame. • Upscale Crop: This method crops the edges of a video frame to hide an object. ...
arXiv:2402.02089v1
fatcat:sugmqvnwz5f47j5gtz7xm2f4ma
A Comprehensive Review of Deep-Learning-Based Methods for Image Forensics
2021
Journal of Imaging
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This paper presents a comprehensive literature review of the image forensics techniques with a special focus on deep-learning-based methods. ...
A review of different image databases and an overview of anti-forensic methods are also presented. ...
This architecture can approach data analysis in a non-linear way. ...
doi:10.3390/jimaging7040069
pmid:34460519
pmcid:PMC8321383
fatcat:72zd7nyaifhvlgcxv22zztpm4y
Improved Sine-Cosine Algorithm For Anti Forensics JPEG Compression
2020
Multimedia Research
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Here, by the JPEG compression, a difficult anti-forensic approach is developed to get rid of the traces left in both the spatial domain and DCT. ...
In the image, to recognize the local tampering the lossy character of the JPEG compression leaves of traces that are done using forensic agents. ...
A counter-forensic method was developed to cover the multiple compressions traces due to the histograms analysis of quantized coefficients of DCT in [20] . ...
doi:10.46253/j.mr.v3i1.a4
fatcat:fcqehpbl7fayvl7ke5kha2alfa
Image Quality Assessment by Upsampling Methods Based on Spatial Spectrum Extrapolation
Оценка качества изображений при повышении разрешения на основе пространственного спектрального синтеза
2017
Herald of the Bauman Moscow State Technical University Series Natural Sciences
Оценка качества изображений при повышении разрешения на основе пространственного спектрального синтеза
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It is dicult to mention all of them without the risk of forgetting someone: a general big thanks, then, to all the people who were part of the TEMICS and SIROCCO teams at any point since my arrival at ...
To all of them, thanks for taking the time to read this manuscript and for all the valuable comments and remarks on it, which helped me clarifying several aspects of the work done. ...
a random sparse matrix X is generated); some Gaussian noise is also added. ...
doi:10.18698/1812-3368-2017-1-124-141
fatcat:qtzk2m4eovdhnbirqwfigqrj44
Hybrid Clustering of Shared Images on Social Networks for Digital Forensics
2019
IEEE Access
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Clustering the images shared through social network (SN) platforms according to the acquisition cameras embedded in smartphones is regarded as a significant task in forensic investigations of cybercrimes ...
The hybrid method exploits batch partitioning, image resizing, hierarchical and graph-based clustering approaches to cluster the images. ...
ACKNOWLEDGMENT The authors would like to thank the faculty and staff in the School of Computing and Mathematics, Charles Sturt University, Australia, for their support during the implementation of the ...
doi:10.1109/access.2019.2925102
fatcat:hn2d7cujyffdpgbvsibmkcysvm
Deep Multilabel CNN for Forensic Footwear Impression Descriptor Identification
[article]
2021
arXiv
pre-print
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In this paper, we employ a deep learning approach to classify footwear impression's features known as descriptors for forensic use cases. ...
We empirically show that this technique outperforms using a single type of interpolated image without learnable preprocessing, and can help to avoid the computational penalty related to using high resolution ...
Acknowledgements The financial support of Innovate UK is acknowledged via the Knowledge Transfer Partners programme. ...
arXiv:2102.05090v1
fatcat:rwwwtd5buffz5lvyc2jmtshwpq
Recent Advances in Passive Digital Image Security Forensics: A Brief Review
2018
Engineering
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With the development of sophisticated image editing and manipulation tools, the originality and authenticity of a digital image is usually hard to determine visually. ...
Moreover, the major limitations of the current image forensics approaches are discussed in order to point out some possible research directions or focuses in these areas. ...
Acknowledgements The work described in this paper was supported by National Key Research and Development Program of China (2016QY01W0104) and National Natural Science Foundation of China (61771310). ...
doi:10.1016/j.eng.2018.02.008
fatcat:vckmpckspreobdhlg2of6p3xma
Deep Metric Color Embeddings for Splicing Localization in Severely Degraded Images
[article]
2022
arXiv
pre-print
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One common task in image forensics is to detect spliced images, where multiple source images are composed to one output image. ...
Our proposal is to model the color formation of an image. ...
The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the ...
arXiv:2206.10737v1
fatcat:xjklwkjdvfanbm34ubcrh6ur6y
Counter-Forensics: Attacking Image Forensics
[chapter]
2012
Digital Image Forensics
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, and the role of image models with regard to the epistemic underpinning of the forensic decision problem. ...
Research on counter-forensics is motivated by the need to assess and improve the reliability of forensic methods in situations where intelligent adversaries make efforts to induce a certain outcome of ...
Acknowledgements Thanks are due to Gang Cao, Thomas Gloe, and Miroslav Goljan for sharing the data of their original research papers. ...
doi:10.1007/978-1-4614-0757-7_12
fatcat:amg3sagivbd7ho4fgmg5yehwha
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