Perceptually adaptive spread transform image watermarking scheme using Hadamard transform

2011 ◽  
Vol 181 (3) ◽  
pp. 450-465 ◽  
Author(s):  
Santi P. Maity ◽  
Malay K. Kundu
Keyword(s):  
Image Watermarking ◽  
Hadamard Transform ◽  
Watermarking Scheme

A Blind Image Watermarking Scheme Using Fast Hadamard Transform

2010 ◽  
Vol 9 (7) ◽  
pp. 1369-1375 ◽  
Author(s):  
Yong Zhang ◽  
Zhe-Ming Lu ◽  
Dong-Ning Zhao
Keyword(s):  
Image Watermarking ◽  
Hadamard Transform ◽  
Watermarking Scheme ◽  
Blind Image

A PARAMETRIC SLANT-HADAMARD SYSTEM FOR ROBUST IMAGE WATERMARKING

2010 ◽  
Vol 19 (02) ◽  
pp. 451-477 ◽  
Author(s):  
ALIMOHAMMAD LATIF ◽  
AHMAD REZA NAGHSH-NILCHI ◽  
S. AMIRHASAN MONADJEMI
Keyword(s):  
Image Watermarking ◽  
Random Sequence ◽  
Statistical Properties ◽  
Experimental Results ◽  
Hadamard Transform ◽  
Real Numbers ◽  
Transform Coefficients ◽  
Robust Image ◽  
Watermarking Scheme

In this paper, a novel watermarking technique based on parametric slant-Hadamard transform is presented. Our approach embeds a pseudo-random sequence of real numbers in a selected set of the parametric slant-Hadamard transform coefficients. By exploiting statistical properties of the embedded sequence, the mark can be reliably extracted without resorting to the original uncorrupted image. The presented method is capable of increasing the flexibility of the watermarking scheme, where the changes in parameter set help to improve fidelity and robustness against a number of attacks. Experimental results show that the proposed technique is secure and indeed highly robust to these attacks.

scholarly journals Statistical Assessment of Discrimination Capabilities of a Fractional Calculus Based Image Watermarking System for Gaussian Watermarks

Entropy ◽  
2021 ◽  
Vol 23 (2) ◽  
pp. 255
Author(s):  
Mario Gonzalez-Lee ◽  
Hector Vazquez-Leal ◽  
Luis J. Morales-Mendoza ◽  
Mariko Nakano-Miyatake ◽  
Hector Perez-Meana ◽  
...  
Keyword(s):  
Fractional Calculus ◽  
Roc Curve ◽  
Gaussian Noise ◽  
False Positive ◽  
Operating Characteristic ◽  
Image Watermarking ◽  
Area Under The Curve ◽  
Statistical Assessment ◽  
Watermarking Scheme ◽  
Fractional Equation

In this paper, we explore the advantages of a fractional calculus based watermarking system for detecting Gaussian watermarks. To reach this goal, we selected a typical watermarking scheme and replaced the detection equation set by another set of equations derived from fractional calculus principles; then, we carried out a statistical assessment of the performance of both schemes by analyzing the Receiver Operating Characteristic (ROC) curve and the False Positive Percentage (FPP) when they are used to detect Gaussian watermarks. The results show that the ROC of a fractional equation based scheme has 48.3% more Area Under the Curve (AUC) and a False Positives Percentage median of 0.2% whilst the selected typical watermarking scheme has 3%. In addition, the experimental results suggest that the target applications of fractional schemes for detecting Gaussian watermarks are as a semi-fragile image watermarking systems robust to Gaussian noise.

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