Results 61 to 70 of about 32,604 (141)

Robust Copy-move Forgery Detection through Invariant Moment Features [PDF]

, 2016
The proposed scheme uses the invariant features extracted from each block to detect the copy-move forgery detection regions in a digital image. In the proposed scheme, an image is first divided into overlapping blocks.
Chen, Chien-Chang
core  

Self-Supervised Feature Disentanglement for Deepfake Detection

Mathematics
Existing deepfake detection methods heavily rely on specific training data distributions and struggle to generalize to unknown forgery techniques. To address the challenge, this paper focuses on two critical research gaps: (1) the lack of systematic ...
Bo Yan, Pan Liu, Yumin Yang, Yanming Guo
doaj   +1 more source

A Watermark-Based Scheme for Authenticating JPEG Image Integrity

IEEE Access, 2018
JPEG is the most common image format in smartphones, computers, or digital cameras. Because numerous JPEG images are easily shared and distributed, there are privacy and security concerns for these images.
Oh-Jin Kwon, Seungcheol Choi, Beomyeol Lee   +2 more
doaj   +1 more source

AISMSNet: Advanced Image Splicing Manipulation Identification Based on Siamese Networks

Applied Sciences
The exponential surge in specialized image editing software has intensified visual forgery, with splicing attacks emerging as a popular forgery technique.
Ana Elena Ramirez-Rodriguez, Rodrigo Eduardo Arevalo-Ancona, Hector Perez-Meana, Manuel Cedillo-Hernandez, Mariko Nakano-Miyatake   +4 more
doaj   +1 more source

Harmonizing Image Forgery Detection & Localization: Fusion of Complementary Approaches. [PDF]

J Imaging, 2023
Mareen H, De Neve L, Lambert P, Van Wallendael G.   +3 more
europepmc   +1 more source

Dual-Module Architecture for Robust Image Forgery Segmentation and Classification Toward Cyber Fraud Investigation

Applied Sciences
This study presents a dual-module architecture for image forgery detection in the context of cyber fraud investigation, designed to provide interpretable and court-admissible forensic evidence.
Donghwan Kim, Hansoo Kim
doaj   +1 more source

Retracted: Design of Automated Deep Learning-Based Fusion Model for Copy-Move Image Forgery Detection. [PDF]

Comput Intell Neurosci, 2023
Intelligence And Neuroscience C.
europepmc   +1 more source

Comprehensive analyses of image forgery detection methods from traditional to deep learning approaches: an evaluation. [PDF]

Multimed Tools Appl, 2023
Sharma P, Kumar M, Kumar M, Sharma H.
europepmc   +1 more source

Copy-move forgery detection for image forensics using the superpixel segmentation and the Helmert transformation

EURASIP Journal on Image and Video Processing, 2019
The increasing popularity of the internet suggests that digital multimedia has become easier to transmit and acquire more rapidly. This also means that this multimedia has become more susceptible to tampering through forgery.
Hui-Yu Huang, Ai-Jhen Ciou
doaj   +1 more source

MMFD-Net: A Novel Network for Image Forgery Detection and Localization via Multi-Stream Edge Feature Learning and Multi-Dimensional Information Fusion

Mathematics
With the rapid advancement of image processing techniques, digital image forgery detection has emerged as a critical research area in information forensics.
Haichang Yin, KinTak U, Jing Wang, Zhuofan Gan   +3 more
doaj   +1 more source