Noise-Robust Watermarking for Numerical Datasets

DWT and Lifting Wavelet Transform Based Robust Watermarking for Color Image

International Review on Computers and Software (IRECOS) ◽

10.15866/irecos.v10i11.7035 ◽

2015 ◽

Vol 10 (11) ◽

pp. 1127

Author(s):

Nidaa Hasan Abbas ◽

Sharifah Mumtazah Syed Ahmad ◽

Wan Azizun Wan Adnan ◽

Abed Rahman Bin Ramli ◽

Sajida Parveen

Keyword(s):

Wavelet Transform ◽

Color Image ◽

Robust Watermarking ◽

Lifting Wavelet Transform ◽

Lifting Wavelet

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Integrated Ambient Light Sensor with an LTPS Noise-Robust Circuit and a-Si Photodiodes for AMLCDs

IEICE Transactions on Electronics ◽

10.1587/transele.e93.c.1583 ◽

2010 ◽

Vol E93-C (11) ◽

pp. 1583-1589

Author(s):

Fumirou MATSUKI ◽

Kazuyuki HASHIMOTO ◽

Keiichi SANO ◽

Fu-Yuan HSUEH ◽

Ramesh KAKKAD ◽

...

Keyword(s):

Ambient Light ◽

Light Sensor ◽

Noise Robust

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A SVD and Modified Firefly Optimization Based Robust Digital Image Watermarking Technique

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse/v7i7/0210 ◽

2017 ◽

Vol 7 (7) ◽

pp. 268

Author(s):

Chauhan Usha ◽

Singh Rajeev Kumar

Keyword(s):

Digital Media ◽

Firefly Algorithm ◽

Image Watermarking ◽

Singular Values ◽

Robust Watermarking ◽

Scaling Factors ◽

Geometric Attacks ◽

Host Image ◽

Firefly Optimization ◽

Value Decomposition

Digital Watermarking is a technology, to facilitate the authentication, copyright protection and Security of digital media. The objective of developing a robust watermarking technique is to incorporate the maximum possible robustness without compromising with the transparency. Singular Value Decomposition (SVD) using Firefly Algorithm provides this objective of an optimal robust watermarking technique. Multiple scaling factors are used to embed the watermark image into the host by multiplying these scaling factors with the Singular Values (SV) of the host image. Firefly Algorithm is used to optimize the modified host image to achieve the highest possible robustness and transparency. This approach can significantly increase the quality of watermarked image and provide more robustness to the embedded watermark against various attacks such as noise, geometric attacks, filtering attacks etc.

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An adaptive noise-robust direction finding method based on SNR estimation

Future Communication Technology ◽

10.2495/icct131212 ◽

2014 ◽

Author(s):

Dongliang Guo ◽

Zhonghua Li ◽

Tiejun Zhang ◽

Chao Huang

Keyword(s):

Direction Finding ◽

Snr Estimation ◽

Adaptive Noise ◽

Noise Robust ◽

Finding Method

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A Hybrid Robust Watermarking and Encryption for Medical Images using GA Optimized DWT and SVD

i-manager’s Journal on Image Processing ◽

10.26634/jip.2.1.3264 ◽

2015 ◽

Vol 2 (1) ◽

pp. 19-27

Author(s):

Venugopal Reddy ◽

◽

P. Siddaiah ◽

Keyword(s):

Medical Images ◽

Robust Watermarking

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Robust Watermarking Scheme for GIS Vector Maps

Ibn AL- Haitham Journal For Pure and Applied Science ◽

10.30526/31.1.1835 ◽

2018 ◽

Vol 31 (1) ◽

pp. 277 ◽

Cited By ~ 1

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.

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