DCT-Based Gray Image  Watermarking Scheme

2017 ◽  
pp. 181-189
Author(s):  
Supriyo De ◽  
Jaydeb Bhaumik ◽  
Puja Dhar ◽  
Koushik Roy
Keyword(s):  
Image Watermarking ◽  
Gray Image ◽  
Watermarking Scheme

A Novel Gray Image Watermarking Scheme

2011 ◽  
Vol 6 (5) ◽  
Author(s):  
Yongqiang Chen ◽  
Yanqing Zhang ◽  
Hanping Hu ◽  
Hefei Ling
Keyword(s):  
Image Watermarking ◽  
Gray Image ◽  
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

Anti-Print and Scan Halftone Watermarking Algorithm Based on Edge Detection

2013 ◽  
Vol 416-417 ◽  
pp. 1210-1213
Author(s):  
Hua Wen Ai ◽  
Ping Feng Liu ◽  
Sheng Cong Dong
Keyword(s):  
Edge Detection ◽  
Image Watermarking ◽  
Error Diffusion ◽  
Grayscale Image ◽  
Good Resistance ◽  
Visibility Function ◽  
Gray Image ◽  
Halftone Image ◽  
Watermark Embedding ◽  
Edge Points

In order to resist print and scan attacks, a kind of digital halftone image watermarking algorithm is proposed, which is based on the edge detection and improved error diffusion. The edge of gray image is gotten using canny detection. Calculate the noise visibility function values of the edge points. Then, sort the values in ascending order and select the size that equal to the length of watermark as the location of watermark embedding. While the grayscale image turns to halftone image using the improved error diffusion algorithm, binary watermark is embedded in the edge position. Watermark is pretreated with Arnold before embedding to improve the safety of watermark. Experiment results show that the algorithm is good resistance to print and scan attacks, while resistance to shearing, noise and jpeg compression attacks.

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