A spiral based image watermarking scheme using Karhunen–Loeve and discrete hartley transforms

2015 ◽  
Vol 28 (2) ◽  
pp. 573-595 ◽  
Author(s):  
H. Kasban
Keyword(s):  
Image Watermarking ◽  
Hartley Transforms ◽  
Watermarking Scheme

Image Watermarking Scheme for Specifying False Positive Probability and Bit-pattern Embedding

2012 ◽  
Vol 132 (6) ◽  
pp. 932-939
Author(s):  
Kohei Sayama ◽  
Masayoshi Nakamoto ◽  
Mitsuji Muneyasu ◽  
Shuichi Ohno
Keyword(s):  
False Positive ◽  
Image Watermarking ◽  
Positive Probability ◽  
Watermarking Scheme ◽  
False Positive Probability

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.

A feature-based image watermarking scheme robust to local geometrical distortions

2009 ◽  
Vol 11 (6) ◽  
pp. 065401 ◽  
Author(s):  
Xiang-yang Wang ◽  
Li-min Hou ◽  
Hong-ying Yang
Keyword(s):  
Image Watermarking ◽  
Feature Based ◽  
Watermarking Scheme
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