Highly robust watermarking scheme based on surrounding mean value relationship

2005 ◽  
Vol 44 (6) ◽  
pp. 067006 ◽  
Author(s):  
Der-Chyuan Lou
Keyword(s):  
Mean Value ◽  
Robust Watermarking ◽  
Watermarking Scheme

scholarly journals A Robust Watermarking Scheme Based on the Mean Modulation of DWT Coefficients

2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Zied Kricha ◽  
Anis Kricha ◽  
Anis Sakly
Keyword(s):  
Signal Processing ◽  
Wavelet Transformation ◽  
State Of The Art ◽  
Mean Value ◽  
Chaotic Sequence ◽  
Computational Algorithms ◽  
Robust Watermarking ◽  
The Mean ◽  
Extraction Stage ◽  
Watermarking Scheme

In an endeavor to deal with image copyright infringement, robust watermarking approaches are commonly used. However, most of the existing approaches either present a limited robustness or rely on highly computational algorithms, thereby limiting the efficiency of these solutions. In this paper, a novel blind and robust watermarking method is presented. First, the vertical and horizontal subbands coefficients, resulting from the wavelet transformation, are scrambled using a chaotic sequence and then gathered into individual blocks. Next, the mean value of each block is modulated according to watermark bit. At the extraction stage, based on the sign of the blocks’ mean, a blind watermark extractor is suggested. The imperceptibility, security, complexity, and robustness of the proposed approach have been evaluated and compared with state of the art solutions. Experimental results prove that the proposed approach successfully satisfies the watermarking requirement and outperforms existing methods against both geometric and signal processing attacks.

Robust Watermarking Scheme for GIS Vector Maps

2018 ◽  
Vol 31 (1) ◽  
pp. 277 ◽  
Author(s):  
Methaq Talib Gaata
Keyword(s):  
Main Idea ◽  
Geospatial Data ◽  
Robust Watermarking ◽  
Digital Map ◽  
Statistical Measures ◽  
Data Authentication ◽  
Two Factors ◽  
Illegal Copying ◽  
Value Decomposition ◽  
Watermarking Scheme

  With the fast progress of information technology and the computer networks, it becomes very easy to reproduce and share the geospatial data due to its digital styles. Therefore, the usage of geospatial data suffers from various problems such as data authentication, ownership proffering, and illegal copying ,etc. These problems can represent the big challenge to future uses of the geospatial data. This paper introduces a new watermarking scheme to ensure the copyright protection of the digital vector map. The main idea of proposed scheme is based on transforming  the digital map to frequently domain using the Singular Value Decomposition (SVD) in order to determine suitable areas to insert the watermark data. The digital map is separated into the isolated parts.Watermark data are embedded within the nominated magnitudes in each part when satisfied the definite criteria. The efficiency of proposed watermarking scheme is assessed within statistical measures based on two factors which are fidelity and robustness. Experimental results demonstrate the proposed watermarking scheme representing ideal trade off for disagreement issue between distortion amount and robustness. Also, the proposed scheme shows  robust resistance for many kinds of attacks.

Geometrically Invariant NSCT–GPCET-Based Image Watermarking with Accurate Moment Calculation

2021 ◽  
pp. 2150284
Author(s):  
Wenbing Wang ◽  
Shengli Liu ◽  
Liu Feng
Keyword(s):  
Calculation Method ◽  
Image Watermarking ◽  
Robust Watermarking ◽  
Exponential Transform ◽  
Computational Simplicity ◽  
Polar Complex Exponential Transform ◽  
Watermarking Scheme ◽  
Complex Exponential ◽  
Grid Division ◽  
Geometrical Attacks

Generic polar complex exponential transform (GPCET), as continuous orthogonal moment, has the advantages of computational simplicity, numerical stability, and resistance to geometric transforms, which make it suitable for watermarking. However, errors in kernel function discretization can degrade these advantages. To maximize the GPCET utilization in robust watermarking, this paper proposes a secondary grid-division (SGD)-based moment calculation method that divides each grid corresponding to one pixel into nonoverlapping subgrids and increases the number of sampling points. Using the accurate moment calculation method, a nonsubsampled contourlet transform (NSCT)–GPCET-based watermarking scheme with resistance to image processing and geometrical attacks is proposed. In this scheme, the accurate moment calculation can reduce the numerical error and geometrical error of the traditional methods, which is verified by an image reconstruction comparison. Additionally, NSCT and accurate GPCET are utilized to achieve watermark stability. Subsequent experiments test the proposed watermarking scheme for its invisibility and robustness, and verify that the robustness of the proposed scheme outperforms that of other schemes when its level of invisibility is significantly higher.

Robust watermarking scheme for tamper detection and authentication exploiting CA

2019 ◽  
Vol 13 (12) ◽  
pp. 2116-2129 ◽  
Author(s):  
Pabitra Pal ◽  
Biswapati Jana ◽  
Jaydeb Bhaumik
Keyword(s):  
Tamper Detection ◽  
Robust Watermarking ◽  
Watermarking Scheme

A ROBUST WATERMARKING SCHEME USING SELECTIVE CURVELET COEFFICIENTS

2009 ◽  
Vol 07 (02) ◽  
pp. 163-181 ◽  
Author(s):  
H. Y. LEUNG ◽  
L. M. CHENG ◽  
L. L. CHENG
Keyword(s):  
Digital Watermarking ◽  
Digital Image ◽  
Single Band ◽  
Robust Watermarking ◽  
Intensive Study ◽  
Individual Band ◽  
Frequency Bands ◽  
Sample Frequency ◽  
Watermarking Scheme ◽  
Curvelet Coefficient

In this paper, a selective curvelet coefficient digital watermarking algorithm is proposed. Traditionally, curvelet watermarks are embedded into all sample frequency bands. However, the study of individual band behavior and the use of single band for watermarking have not been reported. The selective band will provide an addition security feature against any physical tampering. This paper aims to give an intensive study on the robustness of watermarking using selective curvelet coefficients from a single band and to find out the best band for embedding watermark. Wrapping of specially selected Fourier samples is employed to implement Fast Discrete Curvelet Transforms (FDCT) to transform the digital image to the curvelet domain.

Sign in / Sign up

Export Citation Format

Share Document