Results 81 to 90 of about 44,439 (311)

Data Hiding and the Statistics of Images [PDF]

open access: yes, 2009
The fields of digital watermarking, steganography and steganalysis, and content forensics are closely related. In all cases, there is a class of images that is considered "natural", i.e. images that do not contain watermarks, images that do not contain covert messages, or images that have not been tampered with.
openaire   +1 more source

Optimal data hiding in H.264/AVC videos for covert communication

open access: yes, 2009
[[abstract]]A method using an optimal data hiding technique for covert communication via H.264/AVC videos is proposed. An H.264/AVC video consists of a series of I and P image frames.
G. L. Huang;W. H. Tsai
core  

On the implementation of a hardware architecture for an audio data hiding system [PDF]

open access: yes, 2011
Data hiding systems have emerged as a solution against the piracy problem, particularly those based on quantization have been widely used for its simplicity and high performance.
CLAUDIA FEREGRINO URIBE   +3 more
core  

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

open access: yesAdvanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone   +11 more
wiley   +1 more source

Forbidden Zone Data Hiding

open access: yes2006 International Conference on Image Processing, 2006
A new blind data hiding method is proposed based on a novel concept of forbidden zone, where no alteration is allowed in a host signal during message embedding step. Depending on the desired probability of error, the range of the forbidden zone varies, as a compromise between robustness and embedding distortion.
Esen, Ersin, Alatan, A. Aydin
openaire   +2 more sources

Multilevel Reversible Data Hiding Based on Histogram Modification of Difference Images

open access: yes, 2009
[[abstract]]Reversible data hiding has drawn considerable attention in recent years. Reversibility allows original media to be completely recovered from marked media without distortion after embedded message has been extracted. In this paper we propose a
Lin, C. C.;Tai, W. L.;Chang, C. C.
core  

Titanium Suboxides Responsible for Electronic Anomaly Near Room Temperature in the Ti3C2Tx MXene

open access: yesAdvanced Functional Materials, EarlyView.
Our multi‐technique study reveals that the near‐room‐temperature anomaly in Ti3C2Tx MXene is linked to titanium suboxide nanodomains, including Ti3O5, embedded within the MXene host. Their temperature‐driven transformation provides an alternative explanation to solvent‐ and swelling‐based models and offers new insight into the thermally activated ...
Bence G. Márkus   +8 more
wiley   +1 more source

High-Capacity Reversible Data Hiding for Encrypted Multimedia Data With Somewhat Homomorphic Encryption

open access: yesIEEE Access, 2018
This paper proposes a high-capacity reversible data hiding scheme for encrypted multimedia data by using Somewhat Homomorphic Encryption. In an image, three adjacent pixels are selected as a group for the whole process.
Lizhi Xiong   +3 more
doaj   +1 more source

A capacity-enhanced reversible data hiding scheme based on SMVQ

open access: yes, 2012
[[abstract]]In recent years, there are many reversible data hiding scheme proposed. Most schemes are guaranteed that the original cover image can be reconstructed completely.
黃明祥;Hwang, Min-Shiang
core  

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

open access: yesAdvanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone   +8 more
wiley   +1 more source

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