An Improved Robust Watermarking Technique in Wavelet Domain

Tang, Xuning; Wen, Quan; Nian, Guijun; Wang, Jianchun; Zhu, Huiming

doi:10.1109/mmit.2010.102

Cited by 8 publications

(2 citation statements)

References 2 publications

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“…It provides a critical review on various available techniques. In addition, it addresses the main key performance indicators which include robustness, speed,capacity, fidelity, imperceptibility and computational complexity.Sourav Bhattacharya, T. Chattopadhyay and Arpan Pal [4] A Survey on Different Video Watermarking Techniques and Comparative Analysis with Reference to H.264/AVCIn this paper they perform a comparative analysis based on robustness and computational complexity ofdifferent watermarking algorithms.Video watermarking applications can be grouped as security related like Copy control, fingerprinting, ownership identification, and authentication, taper resistance etc. or value added applications like legacy system enhancement, database linking, video tagging, digital video broadcast monitoring, Media Bridge etc.…”

Section: H Early Workmentioning

confidence: 99%

A Video Watermarking Technique Using Dwt and SVD

Rizvana.¹

2017

IJRASET

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The main aim of the project is to increase the authentication by means of performing video watermarking in multilevel DWT and SVD. The process of Digital watermark embeds the data known as watermark in digital media like picture, video, audio file etc. so that it can be attest for rights. This paper represents the complete software implementation of 3-Level DWT algorithms and to have more secure data a secret key is used. During embedding process a secret key is used for embedding and the same secret key is used during the extraction process.Applying Discrete Wavelet Transform (DWT) on the video to convert the spatial data into spectral data. To evaluate Singular Value Decomposition (SVD) is to achieve high robustness. Index Terms -DWT, SVD, video watermarking, MATLAB, Color. I.INTRODUCTIONWith an astounding improvement in the fields of science and technology, there has been radical growth in the Internet. With the increase in demand of internet, broadband communication has also taken its own pace. This leads to the digital transfer of data such as images, videos, etc. Hence, it is important to avoid the unwanted redistribution of such data or unauthorized access by the illegal users. Digital Watermarking is one of the appealing methods to protect the copyright and unauthorized access to the content. Such type of watermarking can be applied to images, audio, videos etc. These watermarks should not alter the quality of content and it should be robust to the various attacks and distortion. Lot of work has been done on image watermarking and few has been done on video. This paper presents the digital watermarking applied on videos. The digital video watermarking is used to protect the video from digital manipulation and provides the copyright authentication. The two video watermarking methodologies to embed the watermark bit are Spatial Domain Watermarking and Spectral Domain Watermarking. Spatial Domain method is not robust to many signal processing attacks. Spectral Domain method ensures the robustness of watermark. Frequently used transforms are the Discrete Fourier Transform (DFT), Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT). The Discrete wavelet transform is more frequently use because of its excellent multi-resolution and spatial localization characteristics. A. ColorsThe two main color spaces are RGB and CMYK are used for the science communication. B. RGBThe RGB color model relates very closely to the way we perceive color with the r, g and b receptors in our retinas. Additivecolor mixing used by RGB and is the basic color model used in television or any other medium that projects color with light. RGB is the basic color model used in computers and also for web graphics, for print production it is not used. The mixing of two of the primary colors (red, green or blue) and excluding the third color to produce the secondary colors of RGB -cyan, magenta, and yellow. Combination of Red and green produces yellow, green and blue produces cyan, and blue and red producesmagenta. All...

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Section: H Early Workmentioning

confidence: 99%

A Video Watermarking Technique Using Dwt and SVD

Rizvana.¹

2017

IJRASET

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“…The process of decomposition is continued until the desired number of levels determined by the application is reached. Applying IDWT to LL, HL, LH, and HH, we can get four different frequency images that are low frequency image, middle-low frequency image, middle-high frequency image and high frequency image separately It is very suitable to identify the areas in the host image where a watermark can be embedded effectively due to DWT"s excellent spatio-frequency localization properties [4], [18], [22].…”

Section: Discrete Wavelet Transform (Dwt)mentioning

confidence: 99%

Choice of Wavelet from Wavelet Families for DWT-DCT-SVD Image Watermarking

Singh¹,

Tayal²

2012

IJCA

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To achieve the copyright protection in digital images, watermarking is identified as a major technology to protect digital images from illegal manipulation and geometric distortions. In this paper we discuss a digital image watermarking algorithm based on Discrete Wavelet TransformDiscrete Cosine Transform -Singular Value Decomposition (DWT-DCT-SVD). Here in this paper we examined and compared various wavelet families such as Haar, Daubechies, Biorthogonal and Coiflets for the watermarking algorithm. The difference in this method, from other traditional methods is that the watermark is embedded in high frequency band. Traditionally it is assumed that for having good robustness, a watermark should be embedded in low or mid frequency.DWT provides scalability, DCT provides compression and SVD offers minimum or no distortion. Choice of wavelets depends on the choice of wavelet function as DWT can be composed of any function that satisfies requirements of multiresolution analysis. In each of these wavelet families we analyzed effects of wavelets on image quality. The simulation results show good performance with respect to robustness against various image processing operations.

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Gödelization and SVD Based Image Watermarking under Wavelet Domain

Mani

Bhaskari

2013

Advances in Intelligent Systems and Computing

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An Improved Robust Watermarking Technique in Wavelet Domain

Cited by 8 publications

References 2 publications

A Video Watermarking Technique Using Dwt and SVD

A Video Watermarking Technique Using Dwt and SVD

Choice of Wavelet from Wavelet Families for DWT-DCT-SVD Image Watermarking

Gödelization and SVD Based Image Watermarking under Wavelet Domain

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