Robust Watermarking Using Distributed MR-DCT and SVD
04 Feb 2009-pp 21-24
TL;DR: The experimental results show better visual imperceptibility and resiliency of the proposed scheme against intentional or unintentional variety of attacks.
Abstract: In this paper, a robust watermarking scheme is proposed for copyright protection using Distributed multi resolution discrete cosine transform(D-MR-DCT) and singular value decomposition. The core idea of the proposed scheme is to decompose an image into four frequency sub-bands using D-MR-DCT and then singular values of every sub-band are modified with the singular values of the watermark. The experimental results show better visual imperceptibility and resiliency of the proposed scheme against intentional or unintentional variety of attacks.
Citations
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Journal Article•
TL;DR: It is concluded from the study that DTMDCT (Dual tree multi-resolution discrete Cosine transform) provides better fusion results followed by Laplacian pyramid based image fusion technique.
Abstract: Six different novel image fusion techniques using discrete Cosine transform were presented and studied. It is concluded from the study that DTMDCT (Dual tree multi-resolution discrete Cosine transform) provides better fusion results followed by Laplacian pyramid based image fusion technique. DTMDCT is simple and computationally efficient algorithm. Matlab code for these algorithms will be provided.
21 citations
Cites background from "Robust Watermarking Using Distribut..."
...1 DMDCT (Distributed Multi-resolution DCT) Distributed multi resolution DCT (DMDCT) [10] is localized in both spatial and frequency domain and it could be applicable to non-stationary signals....
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TL;DR: The authors present a watermarking approach devoted to store images based on a wavelet packet decomposition, an intelligent choice of the best base carrier points by way of the singular value decomposition and a convolutional encoder to encode data.
Abstract: The ancient documents represent one of the author's history pillars that preserve the historical events for the next generation. Many digitisation projects have been launched to preserve and to diffuse them to the public. However, ensuring security is a challenge since digital documents are susceptible to be hacked. Thus, watermarking the images of the documents seems to be a promising solution mainly for protect the copyright. Many watermarking algorithms have been proposed particularly in the medical field. However, no solution has been recommended for the images of ancient documents. In this study, the authors present a watermarking approach devoted to store images. Their algorithm is based on a wavelet packet decomposition, an intelligent choice of the best base carrier points by way of the singular value decomposition. In their approach, the insertion base and the carrier points of the signature are dynamic, varying from one image to another. For a better preservation of the watermark, they exploited a convolutional encoder to encode data. The results recorded in a set of images of ancient documents taken from the National Library of Tunisia and from the National Archives of Tunis have shown promising results.
4 citations
01 Jan 2012
TL;DR: In this chapter, a robust watermarking technique based on distributive multiresolution transforms (DMT) and singular value decomposition is presented to improve the protection of the images.
Abstract: In this chapter, a robust watermarking technique based on distributive multiresolution transforms (DMT) and singular value decomposition is presented to improve the protection of the images. First, the watermark image is mapped to another form to get reference watermark which is secret and only known to the owner/creator. In order to map watermark image into reference form, chaotic maps are used. The core idea of the proposed technique is to decompose host image via DMT followed by reference watermark embedding in DMT coefficients by modifying the singular values. After embedding, inverse transform is performed to get watermarked image. Distributed Multiresolution Transform Based Framework for Watermarking
2 citations
Dissertation•
01 Jul 2010
TL;DR: A new lightweight robust watermarking approach based on edge features for spatial domain and wavelet domain, which is a simple algorithm with low computational complexity and consists of moderate image distortions suitable to be implemented in many applications.
Abstract: Due to rapid growth of the Internet, digital contents such as text, audio, video and images are easily exchanged and disseminated by worldwide users. As a result, unauthorized duplication arises and becomes a serious issue which needs to be combat with. Therefore, several techniques has been researched and developed in guarding these contents; there are cryptography, encryption, steganography and watermarking. Out of these solutions, digital watermarking has emerged as a reliable technique in safeguarding the digital contents; which works on imperceptibly altering an original digital content to embed a message about the content, which can be later used for authentication purpose. Recently, many extensive researches have been carried out in the field of digital image watermarking due to various types of attacks against the digital images. Geometrical and image processing operations are two main types of attacks which can easily distort digital images. In order to resist those attacks, robust and fragile watermarks are required. A robust watermark is significantly essential in digital image watermarking whereby the embedded watermark in an image can be easily recovered even after it has been manipulated with geometrical or other attacks. Fragile watermark has the ability to detect any unauthorized changes which has been made to the embedded watermark. In this dissertation, we introduce a new lightweight robust watermarking approach based on edge features for spatial domain and wavelet domain. Edge features are chosen as a key factor of our proposed watermarking technique, since the edge information is considered to be robust feature which can withstand the scaling attack in a watermarked image. Moreover, embedding strategy works by embedding watermark in robust edges of a cover image. Meanwhile, an inverse process of embedding step is required in the watermark detection stage. In addition, the original cover image is not needed in validating the detected watermark. Experiments results demonstrated higher visual quality can be gained in spatial domain, due to less distortion to the watermarked image. On the other hand, wavelet domain revealed faster execution time with thresholding technique compared to spatial domain, which is based on edge detection through convolution approach. By overall experiment observations, we noticed that the proposed scheme is a simple algorithm with low computational complexity and consists of moderate image distortions. These are the three main factors contribute towards the robustness feature of our proposed scheme. Therefore this scheme turns out to be a lightweight watermarking and it is suitable to be implemented in many applications.
References
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Book•
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24 Oct 2001
TL;DR: Digital Watermarking covers the crucial research findings in the field and explains the principles underlying digital watermarking technologies, describes the requirements that have given rise to them, and discusses the diverse ends to which these technologies are being applied.
Abstract: Digital watermarking is a key ingredient to copyright protection. It provides a solution to illegal copying of digital material and has many other useful applications such as broadcast monitoring and the recording of electronic transactions. Now, for the first time, there is a book that focuses exclusively on this exciting technology. Digital Watermarking covers the crucial research findings in the field: it explains the principles underlying digital watermarking technologies, describes the requirements that have given rise to them, and discusses the diverse ends to which these technologies are being applied. As a result, additional groundwork is laid for future developments in this field, helping the reader understand and anticipate new approaches and applications.
2,849 citations
"Robust Watermarking Using Distribut..." refers background in this paper
...Embedding must be done either in spatial or frequency domain[1, 2]....
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TL;DR: A novel watermarking algorithm based on singular value decomposition (SVD) is proposed and results show that the newwatermarking method performs well in both security and robustness.
Abstract: Digital watermarking has been proposed as a solution to the problem of copyright protection of multimedia documents in networked environments. There are two important issues that watermarking algorithms need to address. First, watermarking schemes are required to provide trustworthy evidence for protecting rightful ownership. Second, good watermarking schemes should satisfy the requirement of robustness and resist distortions due to common image manipulations (such as filtering, compression, etc.). In this paper, we propose a novel watermarking algorithm based on singular value decomposition (SVD). Analysis and experimental results show that the new watermarking method performs well in both security and robustness.
978 citations
"Robust Watermarking Using Distribut..." refers background in this paper
...Few years ago, a third transform called Singular Value Decomposition (SVD)[3, 4] was explored for watermarking....
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TL;DR: An overview of wavelet-based watermarking techniques available today can be found in this paper, where the authors provide an overview of the wavelet wavelet transform domain and its application in image compression.
Abstract: In this paper, we will provide an overview of the wavelet-based watermarking techniques available today. We will see how previously proposed methods such as spread-spectrum watermarking have been applied to the wavelet transform domain in a variety of ways and how new concepts such as the multi-resolution property of the wavelet image decomposition can be exploited. One of the main advantages of watermarking in the wavelet domain is its compatibility with the upcoming image coding standard, JPEG2000. Although many wavelet-domain watermarking techniques have been proposed, only few fit the independent block coding approach of JPEG2000. We will illustrate how different watermarking techniques relate to image compression and examine the robustness of selected watermarking algorithms against image compression.
302 citations
TL;DR: A hybrid nonblind scheme based on DWT and singular value decomposition (SVD) is presented, and it is shown that it is considerably more robust and reliable than a pure SVD-based scheme.
Abstract: Protection of digital multimedia content has become an increasingly important issue for content owners and service providers. As watermarking is identified as a major technology to achieve copyright protection, the relevant literature includes several distinct approaches for embedding data into a multimedia element. Because of its growing popularity, the discrete wavelet transform (DWT) is commonly used in recent watermarking schemes. In a DWT-based scheme, the DWT coefficients are modified with the data that represents the watermark. We present a hybrid nonblind scheme based on DWT and singular value decomposition (SVD). After decomposing the cover image into four bands (LL, HL, LH, and HH, where L stands for lowpass and H stands for highpass), we apply the SVD to each band, and modify the singular values of the cover image with the singular values of the visual watermark. Modification in all frequencies enables the development of a watermarking scheme that is robust to a wide range of attacks. We compare our hybrid algorithm with a pure SVD-based scheme, and show that it is considerably more robust and reliable.
185 citations
04 Aug 2002
TL;DR: Simulation results are provided which demonstrate the robustness of the proposed technique to a variety of common image degradations and the results of the approach are compared to other transform domain watermarking methods.
Abstract: In this paper, we present a technique for watermarking of digital images based on the singular value decomposition. Simulation results are provided which demonstrate the robustness of the proposed technique to a variety of common image degradations. The results of our approach are also compared to other transform domain watermarking methods.
173 citations
"Robust Watermarking Using Distribut..." refers background in this paper
...Few years ago, a third transform called Singular Value Decomposition (SVD)[3, 4] was explored for watermarking....
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