An efficient method for image forgery detection based on trigonometric transforms and deep learning
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-08162-3
Abstract: Image forgery detection is the basic key to solve many problems, especially social problems such as those in Facebook, and court cases. The common form of image forgery is the copy-move forgery, in which a… read more here.
Keywords: trigonometric transforms; image; forgery detection; forgery ... See more keywords
Passive Image Forgery Detection Based on the Demosaicing Algorithm and JPEG Compression
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2964516
Abstract: Multimedia files play an important role in everyday life. Today, the majority of the population owns state-of-the-art cameras integrated into their mobile devices. Technological development not only facilitates the generation of multimedia content, but also… read more here.
Keywords: passive image; detection based; based demosaicing; image ... See more keywords
Toward Deep-Learning-Based Methods in Image Forgery Detection: A Survey
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DOI: 10.1109/access.2023.3241837
Abstract: In the last decades, deep learning (DL) has emerged as a powerful and dominant technique for solving challenging problems in various fields. Likewise, in the field of digital image forensics, a large and growing body… read more here.
Keywords: methods image; image forgery; based methods; forgery detection ... See more keywords
Learning Traces by Yourself: Blind Image Forgery Localization via Anomaly Detection With ViT-VAE
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2023.3245947
Abstract: Most of existing deep learning models for image forgery localization rely on a large number of high-quality labeled samples for training. The training procedures are performed off-line and without adaptation to the image under scrutiny.… read more here.
Keywords: image forgery; forgery localization; vae; image ... See more keywords
TBFormer: Two-Branch Transformer for Image Forgery Localization
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2023.3279018
Abstract: Image forgery localization aims to identify forged regions by capturing subtle traces from high-quality discriminative features. In this paper, we propose a Transformer-style network with two feature extraction branches for image forgery localization, and it… read more here.
Keywords: image forgery; two branch; forgery localization; feature ... See more keywords
SNIS: A Signal Noise Separation-Based Network for Post-Processed Image Forgery Detection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3204753
Abstract: Image forgery detection has aroused widespread research interest in both academia and industry because of its potential security threats. Existing forgery detection methods achieve excellent tampered regions localization performance when forged images have not undergone… read more here.
Keywords: image forgery; forgery; forgery detection; post ... See more keywords
Towards JPEG-Resistant Image Forgery Detection and Localization Via Self-Supervised Domain Adaptation.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2022.3210379
Abstract: With wide applications of image editing tools, forged images (splicing, copy-move, removal and etc.) have been becoming great public concerns. Although existing image forgery localization methods could achieve fairly good results on several public datasets,… read more here.
Keywords: localization; image forgery; jpeg; domain ... See more keywords
Focal stack based image forgery localization.
Sign Up to like & getrecommendations! Published in 2022 at "Applied optics"
DOI: 10.1364/ao.450654
Abstract: Image security is becoming an increasingly important issue due to advances in deep learning based image manipulations, such as deep image inpainting and deepfakes. There has been considerable work to date on detecting such image… read more here.
Keywords: focal stack; image forgery; based image; stack based ... See more keywords