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Multi-scale segmentation strategies in PRNU-based image tampering localization
2019
Multimedia tools and applications
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Noise discrepancies in multi-scales are used for image splicing forgery detection in [40] . ...
This paper addresses the problem of forgery localization based on PRNU estimation and aims to improve the resolution of PRNU-based algorithms. ...
Publisher's note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. ...
doi:10.1007/s11042-019-7288-y
fatcat:r5fnwz3sund55jbagpcgoqxgvm
Multi-Clue Image Tampering Localization
2014
2014 IEEE International Workshop on Information Forensics and Security (WIFS)
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In this paper, we propose an algorithm for image tampering localization, based on the fusion of three separate detectors: i) one based on PRNU, working when we have at least a few of pictures shot with ...
Therefore, an effective strategy for tampering detection and localization requires to merge the output of many different forensic tools. ...
CONCLUSIONS In this paper we presented a multi-clue image tampering localization algorithm that merges information from three different strategies. ...
doi:10.1109/wifs.2014.7084315
dblp:conf/wifs/GaboriniBMTT14
fatcat:2c6gjax7ovdx5jykzsjyshrsoa
Fusion of Camera Model and Source Device Specific Forensic Methods for Improved Tamper Detection
[article]
2020
arXiv
pre-print
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These two methods also provide solutions to tamper localization problem. In this paper, we propose their combination via a Neural Network to achieve better small-scale tamper detection performance. ...
PRNU based camera recognition method is widely studied in the image forensic literature. In recent years, CNN based camera model recognition methods have been developed. ...
Acknowledgments This material is based on research sponsored by DARPA and Air Force Research Laboratory (AFRL) under agreement number FA8750-16-2-0173. The U.S. ...
arXiv:2002.10123v2
fatcat:uaoqxym4jrc55ensv4yeclw2ry
Scene Classification Based on Multiscale Convolutional Neural Network
2018
IEEE Transactions on Geoscience and Remote Sensing
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2017 pre-print arXiv:1706.07842v3 fatcat:pkkkrnv7rjhrdlos6uk7zcku4yOther Versions
In this paper, we propose to utilize Convolutional Neural Networks (CNNs) and the segmentation-based multi-scale analysis to locate tampered areas in digital images. ...
By exploiting the benefits of both the small-scale and large-scale analyses, the segmentation-based multi-scale analysis can lead to a performance leap in forgery localization of CNNs. ...
The final task is to fuse possibility maps to exploit the benefits of multi-scale analyses. In [2] , the multi-scale analysis in PRNU-based tampering localization was proposed. ...
doi:10.1109/tgrs.2018.2848473
fatcat:4rorpa4f6ba2jftwepizwg35zi
A Novel Deep Learning Architecture with Multi-Scale Guided Learning for Image Splicing Localization
2022
Electronics
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In this paper, we propose a novel deep learning model for image splicing localization that not only considers local image features, but also extracts global information of images by using a multi-scale ...
The goal of image splicing localization is to detect the tampered area in an input image. ...
The multi-scale guided learning strategy is employed to scale the tampering mask with different sizes, and then calculate the binary classification loss in each feature extraction layer and feature fusion ...
doi:10.3390/electronics11101607
fatcat:m53fm7oxfzdndolmupv2fqzug4
Recent Advances in Digital Image and Video Forensics, Anti-forensics and Counter Anti-forensics
[article]
2024
arXiv
pre-print
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We therefore further cover both anti-forensics and counter anti-forensics techniques in image and video. Finally, we conclude this survey by highlighting some open problems in this domain. ...
Another work [177] utilized PRNU homogeneity and multi-scale image segmentation to detect and localize forgeries. Statistical Features Based Detection. ...
The authors in [66] utilized PRNU to detect small tampering through the use of segmentation-based analysis. ...
arXiv:2402.02089v1
fatcat:sugmqvnwz5f47j5gtz7xm2f4ma
Multimedia Forensics Before the Deep Learning Era
[chapter]
2022
Advances in Computer Vision and Pattern Recognition
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The most popular approaches look for artifacts related to the in-camera processing chain (camera-based clues) or the out-camera processing history (editing-based clues). ...
We will also briefly review the most interesting features of machine learning- based methods and finally present the major challenges in this area. ...
Acknowledgements This material is based on research sponsored by the Defense Advanced Research Projects Agency (DARPA) and the Air Force Research Laboratory (AFRL) under agreement number FA8750-20-2-1004 ...
doi:10.1007/978-3-030-87664-7_3
fatcat:zj25humyyzbqxa6qntz25wvvse
Fighting Malicious Media Data: A Survey on Tampering Detection and Deepfake Detection
[article]
2022
arXiv
pre-print
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In this paper, we provide a comprehensive review of the current media tampering detection approaches, and discuss the challenges and trends in this field for future research. ...
This motivates a growing interest of research in media tampering detection, i.e., using deep learning techniques to examine whether media data have been maliciously manipulated. ...
derived from the multi-scale graph reasoning. ...
arXiv:2212.05667v1
fatcat:iuqs2d3qhbay3gryewjlbk75jm
PRNU-Based Content Forgery Localization Augmented With Image Segmentation
2020
IEEE Access
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The framework of the proposed segmentation-based multi-scale localization scheme is illustrated in Fig. 1 . ...
We use the notations 'AW' and 'MS' to denote the adaptive window and multi-scale strategies proposed in [28] for multi-scale fusion. ...
doi:10.1109/access.2020.3042780
fatcat:kcj7dfoq65bklfcwkxwxxli4zm
Digital Image Forensics vs. Image Composition: An Indirect Arms Race
[article]
2016
arXiv
pre-print
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A novel scale to classify image forensics assessments is proposed, and experiments are performed to test composition techniques in regards to different forensics traces. ...
In this sense, the field of digital image forensics has to be prepared to deal with the influx of new technology, in a constant arms-race. ...
ACKNOWLEDGMENT The authors are partially supported by GNSAGA of IN-dAM, CAPES and CNPQ (grants 200960/2015-6/SWE and 306196/2014-0). ...
arXiv:1601.03239v1
fatcat:sowebdgc3bcjlgr5fmqy3zu5ba
Statistical Analysis of Signal-Dependent Noise: Application in Blind Localization of Image Splicing Forgery
[article]
2020
arXiv
pre-print
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In this work, we apply SDN to splicing forgery localization tasks. ...
Visual noise is often regarded as a disturbance in image quality, whereas it can also provide a crucial clue for image-based forensic tasks. ...
[29] proposed a PRNU-based tampering localization method using a multi-scale fusion approach. In turn, Cozzolino et al. ...
arXiv:2010.16211v2
fatcat:uzshioppwnbkdlz4opsxexr4xu
Neural Imaging Pipelines - the Scourge or Hope of Forensics?
[article]
2019
arXiv
pre-print
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., down-sampling and re-compression applied upon distribution in the Web) which inhibits reliable provenance analysis. ...
While this trend challenges forensic analysis even in near-acquisition conditions, it also creates new opportunities. ...
Impact of imaging pipeline on PRNU-based forensics analysis (a) correlation between PRNU fingerprints obtained from the same images developed by different imaging pipelines; (b) cross-pipeline tampering ...
arXiv:1902.10707v1
fatcat:372p4oeuwjah3feby2vxwar45e
Media Forensics and DeepFakes: an overview
[article]
2020
arXiv
pre-print
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On the one hand, this opens the door to a series of exciting applications in different fields such as creative arts, advertising, film production, video games. ...
This review paper aims to present an analysis of the methods for visual media integrity verification, that is, the detection of manipulated images and videos. ...
An alternative to using PRNU is to base the analysis on camera model local features. ...
arXiv:2001.06564v1
fatcat:b3izh3hcmrae5frbd2bv3tmlgu
Detect and Locate: Exposing Face Manipulation by Semantic- and Noise-level Telltales
[article]
2022
arXiv
pre-print
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Extensive experiments show that the proposed model achieves state-of-the-art detection accuracy and remarkable localization performance. ...
Furthermore, a noise map is estimated, playing a complementary role in capturing low-level clues and subsequently empowering decision-making. ...
[27] proposed a multiscale PRNU-based scheme to tackle the tampering localization problem. Quan et al. ...
arXiv:2107.05821v2
fatcat:tmnq75ggo5affdmmzxee3b6tgu
Beyond PRNU: Learning Robust Device-Specific Fingerprint for Source Camera Identification
[article]
2021
arXiv
pre-print
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Various techniques have been developed based on the analysis of the subtle traces left in the images during the acquisition. ...
In recent years, deep learning based approaches have been successful in identifying source camera models. ...
With the increase in the number of layers, the ResNet model can integrate multi-scale features The prediction loss is then calculated based on the class distribution ( ŷ) predicted by the ResNet101 model ...
arXiv:2111.02144v1
fatcat:qiiprg4zunbcrkgx2ketmhdzsa
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