Results 91 to 100 of about 2,330 (292)

Multi-source forgery detection method based on the fusion of color space features and frequency domain features

网络与信息安全学报
With the rapid development of artificial intelligence technology, image forgery techniques have become increasingly complex and covert, particularly in the areas of generative and image editing forgeries.
Hou Yifan, Miao Zhuang, Wang Jun, Zhang Qi, Li Yang, Wang Jiabao   +5 more
doaj  

In Situ Confinement of 0D Halometallates Within Deep Eutectic Solvents: From Systematic Screening to Metal‐Tunable Luminescence for Anti‐Counterfeiting Eutectogels

Advanced Science, EarlyView.
We report photostable, photoluminescent deep eutectic solvents (DESs) powered by in situ‐formed zero‐dimensional (0D) halometallates. Stabilized by microenvironment‐controlling hydrogen bond acceptor (HBA) and donor (HBD) networks, these DESs exhibit vibrant, metal ion‐tunable emission (PLQY = 60.2%).
Jeesu Moon, Minkyu Jung, Woojin Jung, Jaeyune Ryu, Jae‐Seung Lee   +4 more
wiley   +1 more source

Digital image forgery detection

, 2011
Digital image forgery has become a widespread phenomenon in today’s society. Digital images are easy to manipulate and edit due to availability of powerful image processing and editing software.
Tay, Qinyuan.
core  

Large Language Model‐Informed Dual‐Track AI Framework for the Synergistic Design of Crack‐Free and High‐Strength Superalloys

Advanced Science, EarlyView.
This paper illustrates a knowledge‐augmented dual‐track AI framework for advanced superalloy design. First, Large Language Models translate metallurgical heuristics into explicit rules to rapidly prune a vast compositional search space. Subsequently, LLM‐distilled priors safely guide a reinforcement learning agent during autonomous process optimization,
Jian Yao, Junkang Wu, Jie Su, Fuzhu Wang, Zi Wang, Li Wang, Liming Tan, Lan Huang, Feng Liu, Yong Liu   +9 more
wiley   +1 more source

Rethinking Image Forgery Detection via Contrastive Learning and Unsupervised Clustering

, 2023
Image forgery detection aims to detect and locate forged regions in an image. Most existing forgery detection algorithms formulate classification problems to classify pixels into forged or pristine.
Wu, Haiwei, Chen, Yiming, Zhou, Jiantao
core   +1 more source

Water‐Enabled Ultralong Full‐Color Organic Phosphorescence in Hydrogen‐Bonded Frameworks for 4D Encryption and Bio‐Imaging

Advanced Science, EarlyView.
Water‐induced quenching challenges organic RTP materials, but a counter‐intuitive strategy employs HOF to encapsulate carbonyl guests, where water functions as a structural reinforcer. This achieves water‐enhanced ultralong RTP with full‐color emission (blue to deep red), overcoming intracellular quenching for high‐signal cellular imaging, alongside 4D
Pengcheng Wu, Zenggang Lin, Lu Yang, Weisheng Liu   +3 more
wiley   +1 more source

CNN-Keypoint Based Two-Stage Hybrid Approach for Copy-Move Forgery Detection

IEEE Access
Authenticating digital images poses a significant challenge due to the widespread use of image forgery techniques, including copy-move forgery. Copy-move forgery involves copying and pasting portions of an image within the same image while applying ...
Anjali Diwan, Anil K. Roy
doaj   +1 more source

Bypassing Pre‐Photoactivation in High‐Barrier Polyamide for Robust and Scalable Organic Persistent Luminescence

Advanced Science, EarlyView.
A universal paradigm resolves the trade‐off between ambient stability and barrier properties in organic persistent luminescent (OPL) polymers. By interlocking chromophores within a high‐barrier MXD6 matrix, we achieved no Pre‐photoactivation OPLs with exceptional long‐term stability in water.
Yunlong Yang, Sha Liu, Shilin Bo, Longming Jin, Baijun Tang, Zhiying Guo, Chengtao Gao, Xionggang Wang, Yuejun Liu, Qiang Zheng, Zi Liang Wu   +10 more
wiley   +1 more source

Copy-Move Image Forgery Detection Based on LBP and DCT

, 2016
With rapid advances of powerful image processing softwares, it has become easier to commit a forgery by damaging originality of an image. Copy move forgery is one of the most widely used methods of image forgery.
BİLGE, HASAN ŞAKİR, Boz, Ahmet
core   +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