Results 71 to 80 of about 23,633 (272)

Image Forgery Detection Techniques: Latest Trends and Key Challenges

open access: yesIEEE Access
The improvement and accessibility of high-resolution cameras have significantly increased image capturing by various media. Different editing tools are available that are frequently used to improve image quality, resulting in the alteration of images. So,
Poulomi Deb   +3 more
doaj   +1 more source

Deep Face Forgery Detection

open access: yes, 2020
Rapid progress in deep learning is continuously making it easier and cheaper to generate video forgeries. Hence, it becomes very important to have a reliable way of detecting these forgeries. This paper describes such an approach for various tampering scenarios. The problem is modelled as a per-frame binary classification task.
Dogonadze, Nika   +2 more
openaire   +2 more sources

Distinguishing Computer-generated Graphics from Natural Images Based on Sensor Pattern Noise and Deep Learning

open access: yes, 2018
Computer-generated graphics (CGs) are images generated by computer software. The~rapid development of computer graphics technologies has made it easier to generate photorealistic computer graphics, and these graphics are quite difficult to distinguish ...
Hu, Weitong   +4 more
core   +2 more sources

All‐Optical Reconfigurable Physical Unclonable Function for Sustainable Security

open access: yesAdvanced Materials, EarlyView.
An all‐optical reconfigurable physical unclonable function (PUF) is demonstrated using plasmonic coupling–induced sintering of optically trapped gold nanoparticles, where Brownian motion serves as a robust entropy source. The resulting optical PUF exhibits high encoding density, strong resistance to modeling attacks, and practical authentication ...
Jang‐Kyun Kwak   +4 more
wiley   +1 more source

Multibranch Collaboration and Segmented Training Network for Image Forgery Comprehensive Detection

open access: yesIET Biometrics
With the rise of sophisticated image manipulation techniques, image detection forgeries have become increasingly challenging. This paper presents a novel deep learning framework, the multibranch collaboration and segmented training network (MBC-STN), for
Jing Chang   +3 more
doaj   +1 more source

An Atomic‐Level Bimetallic MOF Platform Overcoming the Stability‐Performance Tradeoff for Laser Propulsion

open access: yesAdvanced Materials, EarlyView.
This work introduces an atomic‐level engineered bimetallic MOF Platform that resolves the inherent trade‐off between environmental stability and propulsion efficiency. By integrating robust Fe‐O bonds for hydrolysis resistance and enabling d‐orbital charge transfer (Fe3+→Cu2+) for enhanced photothermal conversion, the design achieves a highly durable ...
Senlin Rao   +3 more
wiley   +1 more source

IJDAR DOI 10.1007/s10032-011-0181-5 ORIGINAL PAPER Text-line examination for document forgery detection [PDF]

open access: yes
In this paper, an approach for forgery detection using text-line information is presented. In questioned document examination, text-line rotation and alignment can be important clues for detecting tampered documents.
Faisal Shafait   +2 more
core  

A reliable order-statistics-based approximate nearest neighbor search algorithm

open access: yes, 2016
We propose a new algorithm for fast approximate nearest neighbor search based on the properties of ordered vectors. Data vectors are classified based on the index and sign of their largest components, thereby partitioning the space in a number of cones ...
Cozzolino, Davide   +2 more
core   +1 more source

Lattice Structures for Bone Replacement: The Intersection of Bone Biomechanics, Lattice Design, and Additive Manufacturing

open access: yesAdvanced Materials Technologies, EarlyView.
This review outlines how understanding bone's biology, hierarchical architecture, and mechanical anisotropy informs the design of lattice structures that replicate bone morphology and mechanical behavior. Additive manufacturing enables the fabrication of orthopedic implants that incorporate such structures using a range of engineering materials ...
Stylianos Kechagias   +4 more
wiley   +1 more source

Difficulty‑Aware Meta‑Learning for Cross‑Domain Face Forgery Detection

open access: yesNanjing Hangkong Hangtian Daxue Xuebao
With the rapid iteration of facial forgery techniques, robust detection mechanisms that can handle unseen forgery methods are increasingly crucial. However, current approaches are primarily tailored to specific forgery techniques, posing limitations in ...
JIN Shichen, TAN Xiaoyang
doaj   +1 more source

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