A Comparative Analysis on Reversible Watermarking Techniques in Medical Images

2014 ◽  
Vol 72 (1) ◽  
Author(s):  
Seyed Mojtaba Mousavi ◽  
Alireza Naghsh ◽  
Sayed Amir Hejazi ◽  
S.A.R Abu-Bakar
Keyword(s):  
Digital Image ◽  
Image Watermarking ◽  
Reversible Watermarking ◽  
Digital Image Watermarking ◽  
Content Description ◽  
Original Multimedia ◽  
Military Applications ◽  
Critical Requirement ◽  
Watermarking Scheme ◽  
Broadcast Monitoring

Digital Image watermarking is usually used for identifying the owner, provider or recipient of an image. Watermarking also can be used for other applications such as copyright protection, fingerprinting, authentication, integrity verification, broadcast monitoring and content description. Reversibility is one of the important aspects in digital image watermarking. It is also known as lossless or invertible watermarking. Compared to conventional watermarking scheme, reversible data hiding restores not only the watermark, but also the original multimedia perfectly, which is a critical requirement for medical and military applications. In this work, after presenting different classifications of reversible methods, two commonly used reversible techniques are explained and their strengths and weaknesses are discussed.

Reversible Watermarking in Digital Image Using PVO and RDWT

2018 ◽  
Vol 10 (2) ◽  
pp. 40-55
Author(s):  
Lin Gao ◽  
Tiegang Gao ◽  
Jie Zhao ◽  
Yonglei Liu
Keyword(s):  
Digital Image ◽  
Visual Masking ◽  
Image Watermarking ◽  
Visual Quality ◽  
Reversible Watermarking ◽  
Discrete Wavelet ◽  
Digital Image Watermarking ◽  
Embedding Capacity ◽  
Watermarking Scheme ◽  
Redundant Discrete Wavelet Transform

This article proposed a reversible digital image watermarking scheme using PVO and Redundant Discrete Wavelet Transform (RDWT). The PVO was introduce to the proposed scheme to enhance the embedding capacity. By embedding the watermark in the RDWT coefficients, the proposed scheme exploited the visual masking property of RDWT to achieve better visual quality. Also, the proposed scheme has better performance on embedding capacity because the RDWT has several sub-band coefficients for embedding. The experimental results on natural and medical images suggests that the proposed scheme could meet the demand of perceptional quality with better embedding capacity than former schemes.

Watermarking Techniques for DRM Applications

2009 ◽  
pp. 71-100
Author(s):  
Alessandro Piva ◽  
Roberto Caldelli ◽  
Alessia De Rosa ◽  
Mauro Barni ◽  
Vito Cappellini
Keyword(s):  
Digital Watermarking ◽  
Digital Image ◽  
Spread Spectrum ◽  
Image Watermarking ◽  
Mathematical Formulation ◽  
Multimedia Content ◽  
Practical Implementation ◽  
Digital Image Watermarking ◽  
Spread Spectrum Watermarking ◽  
Watermarking Scheme

The need to safeguard the property rights of multimedia content from unauthorized copying and the possibility to determine the true owners of the asset can be faced by resorting to efficient digital watermarking systems. This chapter presents a mathematical formulation to define a digital watermarking system and describes the general requirements to be satisfied, with more emphasis given to the aspects of security, robustness, and imperceptibility. After this general discussion, the two main classes of digital watermarking schemes, namely the spread-spectrum watermarking and the side-informed watermarking are explained by highlighting their main advantages and drawbacks. This analysis is completed by the description of a practical implementation of a digital image watermarking scheme. Finally, the use of watermarking systems in the framework of a DRM is deeply analyzed.

On the Implementation of a Digital Image Watermarking Framework Using Saliency and Phase Congruency

2017 ◽  
pp. 253-292
Author(s):  
Abhishek Basu ◽  
Susmita Talukdar
Keyword(s):  
Data Hiding ◽  
Digital Image ◽  
Image Watermarking ◽  
Saliency Map ◽  
Digital Image Watermarking ◽  
Phase Congruency ◽  
Hiding Capacity ◽  
Spectral Residual ◽  
Watermarking Scheme ◽  
Least Significant Bits

In this paper, a saliency and phase congruency based digital image watermarking scheme has been projected. The planned technique implants data at least significant bits (LSBs) by means of adaptive replacement. Here more information is embedded into less perceptive areas within the original image determined by a combination of spectral residual saliency map and phase congruency map. The position of pixels with less perceptibility denotes the most unimportant region for data hiding from the point of visibility within an image. Therefore any modification within these regions will be less perceptible to one observer. The model gives a concept of the areas which has excellent data hiding capacity within an image. Superiority of the algorithm is tested through imperceptibility, robustness, along with data hiding capacity.

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