High-Fidelity Reversible Image Watermarking Based on Effective Prediction Error-Pairs Modification

2021 ◽  
Vol 23 ◽  
pp. 52-63
Author(s):  
Wenguang He ◽  
Zhanchuan Cai ◽  
Yaomin Wang
Keyword(s):  
Prediction Error ◽  
Image Watermarking ◽  
High Fidelity ◽  
Reversible Image Watermarking

Multiple histogram based adaptive pairwise prediction-error modification for efficient reversible image watermarking

2021 ◽  
Vol 581 ◽  
pp. 515-535
Author(s):  
Guojun Fan ◽  
Zhibin Pan ◽  
Quan Zhou ◽  
Xinyi Gao ◽  
Xiaoran Zhang
Keyword(s):  
Prediction Error ◽  
Image Watermarking ◽  
Reversible Image Watermarking

scholarly journals Branch and Bound Algorithm Based on Prediction Error of Metamodel for Computational Electromagnetics

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6749
Author(s):  
Reda El Bechari ◽  
Stéphane Brisset ◽  
Stéphane Clénet ◽  
Frédéric Guyomarch ◽  
Jean Claude Mipo
Keyword(s):  
Branch And Bound ◽  
Prediction Error ◽  
Global Solutions ◽  
Black Box ◽  
High Fidelity ◽  
Electromagnetic Devices ◽  
Box Models ◽  
Element Simulation ◽  
The Cost ◽  
Black Box Models

Metamodels proved to be a very efficient strategy for optimizing expensive black-box models, e.g., Finite Element simulation for electromagnetic devices. It enables the reduction of the computational burden for optimization purposes. However, the conventional approach of using metamodels presents limitations such as the cost of metamodel fitting and infill criteria problem-solving. This paper proposes a new algorithm that combines metamodels with a branch and bound (B&B) strategy. However, the efficiency of the B&B algorithm relies on the estimation of the bounds; therefore, we investigated the prediction error given by metamodels to predict the bounds. This combination leads to high fidelity global solutions. We propose a comparison protocol to assess the approach’s performances with respect to those of other algorithms of different categories. Then, two electromagnetic optimization benchmarks are treated. This paper gives practical insights into algorithms that can be used when optimizing electromagnetic devices.

scholarly journals Wavelet based Reversible Image Watermarking with Logistic Encryption for Health Informatics Systems

2019 ◽  
Vol 8 (2S11) ◽  
pp. 3567-3570
Keyword(s):  
Wavelet Transform ◽  
Execution Time ◽  
Health Informatics ◽  
Binary Data ◽  
Image Watermarking ◽  
Reversible Watermarking ◽  
Integer Wavelet Transform ◽  
Integer Wavelet ◽  
Reversible Image Watermarking ◽  
Watermarking Scheme

Health Informatics systems preserves the patient’s digital records. Two techniques that help in this process are watermarking and encryption. In this paper a reversible image watermarking scheme with logistic encryption is presented. The reversible watermarking is utilizing the concept of integer wavelet transform. The image is divided into sub bands and then the binary data is hidden in these sub bands. The watermarked wavelet sub bands are passed through logistic encryption module which scrambles the coefficients. These coefficients are then sent to inverse wavelet transform for image reconstruction. This process helps encrypt the image though spectral scrambling, thus resulting in faster and better encryption. The proposed algorithm outperforms the exiting algorithms in terms of execution time and the level of encryption.

scholarly journals CERTAIN INVESTIGATIONS ON REVERSIBLE IMAGE WATERMARKING

2019 ◽  
Vol 12 (15) ◽  
pp. 1-8
Author(s):  
T. Sujatha ◽  
Susan Augustine ◽  
J. Granty Regina Elwin ◽  
◽  
◽  
...  
Keyword(s):  
Image Watermarking ◽  
Reversible Image Watermarking

scholarly journals Reversible image watermarking technique using LCWT and DGT

2017 ◽  
Vol 7 (1.3) ◽  
pp. 42
Author(s):  
Bennilo Fernandes.J ◽  
Sivakannan S ◽  
Prabakaran N ◽  
G. Thirugnanam
Keyword(s):  
Signal To Noise Ratio ◽  
High Reliability ◽  
Image Watermarking ◽  
Similarity Index ◽  
Effective Technique ◽  
Image Domain ◽  
Contemporary World ◽  
Related Information ◽  
Confidential Data ◽  
Reversible Image Watermarking

In this contemporary world procuring our confidential data against some unknown person is very significant. Thus to have a high reliability of data security watermarking technique is applied before transmitting the data. This proposed work LCWT and DGT decomposition gives an effective technique to protect hypertensive related information based on reversible watermarking. LCWT has the superiority of multi-resolution fundamental analysis of wavelet transform and reflects representation of image domain in LCT. And using DGT decomposition the patient information has to embed inside high frequency subband wavelet and the watermarked information will be extracted by the receiver without any loss, to reconstruct the original image information. The reliability of the proposed method is analyzed by comparing the experimental results of similarity index, normalization and peak signal to noise ratio.

Sign in / Sign up

Export Citation Format

Share Document