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Multilayer Reversible Information Hiding with Prediction-Error Expansion and Dynamic Threshold Analysis [PDF]

open access: yesSensors, 2022
The rapid development of internet and social media has driven the great requirement for information sharing and intelligent property protection. Therefore, reversible information embedding theory has marked some approaches for information security ...
I-Hui Pan   +3 more
doaj   +4 more sources

Reversible data hiding with dual pixel-value-ordering and minimum prediction error expansion. [PDF]

open access: yesPLoS ONE, 2022
Pixel Value Ordering (PVO) holds an impressive property for high fidelity Reversible Data Hiding (RDH). In this paper, we introduce a dual PVO (dPVO) for Prediction Error Expansion (PEE), and thereby develop a new RDH scheme to offer a better rate ...
Md Abdul Wahed, Hussain Nyeem
doaj   +2 more sources

Improved prediction error expansion and mirroring embedded samples for enhancing reversible audio data hiding [PDF]

open access: yesHeliyon, 2021
Many applications work by processing either small or big data, including sensitive and confidential ones, through computer networks like cloud computing. However, many systems are public and may not provide enough security mechanisms. Meanwhile, once the
Yoga Samudra, Tohari Ahmad
doaj   +2 more sources

Reversible Data Hiding Based on Pixel-Value-Ordering and Prediction-Error Triplet Expansion

open access: yesMathematics, 2021
Pixel value ordering and prediction error expansion (PVO+PEE) is a very successful reversible data hiding (RDH) scheme. A series of studies were proposed to improve the performance of the PVO-based scheme. However, the embedding capacity of those schemes
Heng-Xiao Chi   +2 more
doaj   +3 more sources

High Capacity Reversible Watermarking for Audio by Histogram Shifting and Predicted Error Expansion [PDF]

open access: yesThe Scientific World Journal, 2014
Being reversible, the watermarking information embedded in audio signals can be extracted while the original audio data can achieve lossless recovery.
Fei Wang, Zhaoxin Xie, Zuo Chen
doaj   +3 more sources

Reversible data hiding in encrypted images based on fine-grained embedding room reservation

open access: yes网络与信息安全学报, 2022
Reversible data hiding in encrypted images has attracted considerable attention due to the privacy-preserving requirement for cloud data management.
LI Jinwei, ZHANG Xiaoya, YAO Yuanzhi, YU Nenghai
doaj   +3 more sources

High-Capacity and High-Quality Reversible Data Hiding Method Using Recurrent Round-Trip Embedding Strategy in the Quotient Image

open access: yesApplied Sciences, 2021
In previous research, scholars always think about how to improve the information hiding algorithm and strive to have the largest embedding capacity and better image quality, restoring the original image.
Chin-Feng Lee, Hua-Zhe Wu
doaj   +1 more source

Reversible Watermark with Large Capacity Based on the Prediction Error Expansion [PDF]

open access: yesIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2008
A reversible watermark algorithm with large capacity has been developed by applying the difference expansion of a generalized integer transform. In this algorithm, a watermark signal is inserted in the LSB of the difference values among pixels. In this paper, we apply the prediction errors calculated by a predictor in JPEG-LS for embedding watermark ...
Minoru Kuribayashi   +2 more
openaire   +1 more source

A Reversible Data-Hiding Method with Prediction-Error Expansion in Compressible Encrypted Images

open access: yesApplied Sciences, 2022
This paper proposes a novel reversible data-hiding method in encrypted images to achieve both a high hiding capacity and good compression performance. The proposed method can also decrypt marked encrypted images without data extraction, so marked images ...
Ryota Motomura   +2 more
doaj   +1 more source

Thermal error modelling for linear motor feed drive system considering multi-field coupling of electromagnetic-thermal-flow

open access: yesCase Studies in Thermal Engineering, 2023
Thermal error is a crucial factor affecting the accuracy of linear motor feed drive systems (LMFDS). To improve the prediction accuracy, a thermal error model for LMFDS considering the multi-field coupling of electromagnetic-thermal-flow (EM-TF) is ...
Maolei Chen, Sitong Xiang, Jianguo Yang
doaj   +1 more source

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