Results 51 to 60 of about 13,991,852 (286)
Moiré Phase Mapping in Twisted Bilayer Liquid Crystals with Reconfigurable Light Polarization States
Advanced Materials, EarlyView.Twisted bilayer liquid crystals are developed by vertical stacking assembly of two liquid crystals having designer domains and optical properties. These moiré‐symmetry, twisted liquid crystals demonstrate reconfigurable polarization states, moiré patterns and phases controlled by twist angles, providing a route to design active optical devices for ...
Jordan A. Wilson +7 more
wiley +1 more source
A Study on Image Forgery Detection Techniques [PDF]
, 2019 In this contemporary world, digital image plays a vital role in several application areas. Image forgery means that handling of the digital image to hide some significant or helpful information of the image.
Manikandan, Dr. L. C., Easow, Shijo
core +1 more source
AHP validated literature review of forgery type dependent passive image forgery detection with explainable AI [PDF]
, 2021 Nowadays, a lot of significance is given to what we read today: newspapers, magazines, news channels, and internet media, such as leading social networking sites like Facebook, Instagram, and Twitter.
Ahirrao, Swati +5 more
core +1 more source
Advanced Materials, EarlyView.Self‐invalidating multilayer physical unclonable functions (PUFs) integrate fingerprint‐like metal nanopattern bilayers from block copolymer templates with highly reactive reduced graphene oxide (rGO) interlayers. This tamper‐responsive architecture blocks all unauthorized physical and chemical replication attempts while autonomously deactivating ...
Gyu Hui Jo +7 more
wiley +1 more source
Passive forgery detection using DCT coefficient analysis in JPEG compressed images
, 2020 Passive forgery detection aims to detect traces of image tampering without the need for prior information. With the increasing demand for image content protection, passive detection methods able to identify image tampering areas are increasingly needed ...
Lin, Cheng-Shian;Tsay, Jyh-Jong
core +1 more source
Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection [PDF]
, 2023 In this paper, we study the problem of generalizable synthetic image detection, aiming to detect forgery images from diverse generative methods, e.g., GANs and diffusion models.
Wang, Jingdong +5 more
core
Advanced Materials Interfaces, EarlyView.A pixelated full‐color display is driven by a 1064 nm near‐infrared laser without electrical wiring. A graphite photothermal layer converts light into heat, while an aluminum heat‐spreading layer redistributes it for uniform color within each pixel. Optimizing pixel size and spacing suppresses thermal crosstalk, enabling non‐contact reproduction of ...
Sang‐Mi Jeong +4 more
wiley +1 more source
MTFDN: An image copy‐move forgery detection method based on multi‐task learning [PDF]
Image copy-move forgery, where an image region is copied and pasted within the same image, is a simple yet widely employed manipulation. In this paper, we rethink copy-move forgery detection from the perspective of multi-task learning and summarize two ...
Hussain, Amir +3 more
core +1 more source
Advanced Materials Interfaces, EarlyView.Persistent Luminescence of doped SrAl2O4:Eu2+, Dy3+ formulated in polymer matrices is a promising solution to be integrated in building envelopes for enhancing Passive Daytime Radiative Cooling. ABSTRACT Persistent Luminescent (PersL) materials have found applications in several fields; their integration into passive daytime radiative cooling systems ...
Roberto Bondi +5 more
wiley +1 more source
Rethinking Image Forgery Detection via Contrastive Learning and Unsupervised Clustering [PDF]
, 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