Results 171 to 180 of about 44,439 (311)

Spatial Domain Image Hiding Scheme Using Pixel-Values Differencing

open access: yes, 2009
[[abstract]]In this paper, we present a spatial domain Image hiding scheme that embeds secret data in a gray-level image. Our scheme is inspired from Wu and Tsai's scheme that embeds secret bits in the difference values of consecutive pixels.
Chang, C. C. ; Chuang, J. C. ; Hu, Y. C.
core  

Tunable Extraordinary Optical Transmission in the Long‐Wavelength Infrared Range Using Electrostatic MEMS Actuation

open access: yesAdvanced Materials Technologies, EarlyView.
A MEMS‐integrated metamaterial filter enables continuous, low‐voltage spectral tuning in the long‐wavelength infrared (LWIR). The device employs extraordinary optical transmission in a dual suspended metasurface stack, where electrostatic actuation precisely controls the intermembrane air gap.
Oleg Bannik   +6 more
wiley   +1 more source

Hiding Data in Halftone Images

open access: yes, 2009
[[abstract]]Most recent papers about visual cryptography for halftone images are dedicated to get a higher contrast decoded image. However, the hidden visual pattern often blends into the background image and leads to a confused image.
Tseng, H. W. ; Chang, C. C
core  

Shaping Carbon Nitrides for Advanced Macrostructures

open access: yesAdvanced Materials Technologies, EarlyView.
This review examines how carbon nitride can be shaped through a range of printing and interfacial assembly methods. By bringing together additive manufacturing and liquid–liquid structuring concepts, carbon nitride is moving beyond its traditional powder‐based photocatalyst form toward digitally designed robust macroscale architectures with high design
Simona Baluchová, Baris Kumru
wiley   +1 more source

Image data hiding

open access: yes, 2005
Image data hiding represents a class of processes used to embed data into cover images. Robustness is one of the basic requirements for image data hiding.
Ni, Zhicheng
core  

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

open access: yesAdvanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov   +3 more
wiley   +1 more source

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