Robust Halftone Image Watermarking Scheme Based on Neural Networks

2006 ◽  
pp. 299-305 ◽  
Author(s):  
Xiang-yang Wang ◽  
Jun Wu
Keyword(s):  
Neural Networks ◽  
Image Watermarking ◽  
Halftone Image ◽  
Watermarking Scheme

A Novel Image Watermarking Scheme Based on MCA Neural Networks

2012 ◽  
Vol 229-231 ◽  
pp. 1874-1877
Author(s):  
Yan Mei Li ◽  
Jian Luo
Keyword(s):  
Neural Networks ◽  
Signal Processing ◽  
Data Analysis ◽  
Image Watermarking ◽  
Minor Component ◽  
Least Significant Bit ◽  
Gray Scale ◽  
Integrity Verification ◽  
Minor Component Analysis ◽  
Watermarking Scheme

Minor component analysis (MCA) plays an important role in signal processing and data analysis. In this paper, we propose a novel watermarking scheme using MCA neural networks. The proposed scheme can detect and localize any modification made to the image, which can be used for integrity verification and authentication. Another important property of this proposed scheme is that any gray scale watermark can be easily inserted into the image compared to some other watermarking method such as LSB (least significant bit) method. Furthermore, the proposed scheme can insert any watermark into one image without making any visible changes to the image. Since the minor component of each image is different, and it requires a user key during both the insertion and extraction procedures, it is not possible for an infringer to insert a new watermark or alter the existing one that could pass the test. Finally, various experiments also confirm such properties of the proposed scheme.

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.

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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