An improved SVD-based watermarking scheme for protecting rightful ownership

Ali, Mohammad; Al-Haj, Ali; Shaltaf, Sameer

doi:10.1016/j.sigpro.2008.02.015

Cited by 161 publications

(88 citation statements)

References 48 publications

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“…Recently, the singular value decomposition (SVD) has been used extensively as an effective technique in digital watermarking [14][15][16][17][18][22][23][24][25][26][27][28][29][30][31][32][33][34]. Most existing SVD based watermarking techniques are applied in images [16][17][18][22][23][24][25][26][27][28][29][30][31][32][33][34].…”

Section: Introductionmentioning

confidence: 99%

“…Most existing SVD based watermarking techniques are applied in images [16][17][18][22][23][24][25][26][27][28][29][30][31][32][33][34]. SVD based audio watermarking techniques, also exist but fewer, some of which can be found in [14,15].…”

Section: Introductionmentioning

confidence: 99%

“…The first group of SVD based watermarking algorithms are 'informed' [32][33][34], requiring access to the original signal or the watermark in order to successfully decode the embedded watermark. The scheme proposed in [32] can be used as a typical example to illustrate the idea used for this group.…”

Section: Introductionmentioning

confidence: 99%

“…The scheme proposed in [32] can be used as a typical example to illustrate the idea used for this group. In the embedding stage, a cover image A will be decomposed into three matrices: U, S and V by SVD.…”

Section: Introductionmentioning

confidence: 99%

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A robust audio watermarking scheme based on reduced singular value decomposition and distortion removal

2011

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a b s t r a c tThis paper presents a blind audio watermarking algorithm based on the reduced singular value decomposition (RSVD). A new observation on one of the resulting unitary matrices is uncovered. The proposed scheme manipulates coefficients based on this observation in order to embed watermark bits. To preserve audio fidelity a thresholdbased distortion control technique is applied and this is further supplemented by distortion suppression utilizing psychoacoustic principles. Test results on real music signals show that this watermarking scheme is in the range of imperceptibility for human hearing, is accurate and also robust against MP3 compression at various bit rates as well as other selected attacks. The data payload is comparatively high compared to existing audio watermarking schemes.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A robust audio watermarking scheme based on reduced singular value decomposition and distortion removal

2011

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“…Therefore, in order toimprove these objectives, researchers have proposed severalwatermarking schemes implemented in spatial as well as transformed domain that find a compromise between thesetwo objectives.The spatial domain watermarking techniquesdirectly embed the watermark into the host image by altering the pixel values [8][9][10][11]. These methods generally are lessrobust to image and signal processing attacks and requiredlow computational efforts, while frequency domain methodstransform the representation of spatial domain into thefrequency domain and then modify its frequency coefficientsto embed the watermark.There are many transform domainwatermarking techniques such as discrete cosine transforms(DCT) [12], discrete Fourier transforms (DFT) [13][14],discrete wavelet transforms (DWT) [15][16][17], and singularvalue decomposition (SVD) [2,[18][19][20]. These methods typicallyprovide higher image imperceptibility and are muchmore robust to image manipulations, but the computationalcost is higher than spatial domain watermarking methods.The performance of watermarking methods was furtherimproved by combining two or more transformations [21][22][23][24][25][26][27][28][29][30][31][32][33].The singular value decomposition (SVD) is extensivelyused in image watermarking field in recent years due toits features.…”

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confidence: 99%

A Normalized SVD based Image Watermarking with an Enhanced Robustness and Imperceptibility

R¹,

P²

2017

IJET

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Digital Image watermarking is one of the most active and challenging subjects in the information hiding research because it is an efficient solution to protect the copyright of the digital media. This paper proposes a new robust watermarking approach based on the selection of singular features of host image into which the watermark has to embed. The host image initially subjected to a normalization process to find the invariant features and then the obtained invariant features are subjected to Integer Wavelet Transform ( I. INTRODUCTION Digital Image Watermarking [1,2] is the process of insertion of image watermark in media content and its extraction, ifrequired, for authentication or ownership verification ofmedia content. A digital image watermark is a piece of informationthat is hidden directly in media content, in such a way thatit is imperceptible to a human observer [3]. Different types of watermarkingmethods for digital contents have been developed thatare classified into different categories depending upon theuse and the requirement of information required for theextraction/detection of watermark. To check the authenticityof a digital content fragile watermarking is used while, forthe purpose of copyright protection, robust watermarking isutilized. This classification is application-dependent. Basedon the information required for the extraction/detectionprocess watermarking schemes can be classified into blind,semi-blind, and non-blind categories. Also, one more categorizationis possible depending upon the domain of embeddingof watermark: spatial and frequency. A detailed reviewof watermarking schemes can be found in [4,5]. In digital image watermarking, there will be a common problem rises at embedding phase. i.e., the optimization of embedding constant. This constant varies from image to image and also varies based on environments. Hence there is a need to optimize embedding constant such that the watermarked image must be robust and imperceptible to any type of environments. Generally, the artificial intelligence techniques such as Genetic algorithm (GA), Particle swarm optimization (PSO), Ant colony optimization (ACO) etc., techniques will be used for optimization purposes. In [6], a novel watermarking approach was proposed by combining the both GA and PSO to obtain an improved performance in watermarking criterion. However, [6] decomposes the image through the most popular Discrete wavelet transform (DWT) which is having main problem of information loss. Due to the down sampling process in DWT, the extracted watermark and also the host image can't recover entire information. Thus, the quality of the watermark will be reduced. In [7], a block based watermarking is proposed based on Discrete Wavelet Transform (DWT) and Singular Vale decomposition (DWT). Initially, the host image was divided into the blocks of size 8X8 and then processed for DWT. From the obtained sub bands, the approximation band was subjected to SVD. Similarly all blocks are processed and the largest singular value is sele...

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A Secured and Robust Medical Image Watermarking Approach for Protecting Integrity of Medical Images

Khare

Srivastava

2020

Trans Emerging Tel Tech

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In this paper, a novel medical image watermarking (MIW) technique for tele ‐ medicine applications is proposed. In this approach homomorphic transform (HT), redundant discrete wavelet transform (RDWT) and singular value decomposition (SVD) transforms are successfully utilized for developing an effective watermarking technique. Reflectance component of medical host image is obtained using HT, on which RDWT decomposition and SVD are applied. Similarly medical watermark image is processed with RDWT and SVD. Singular values (Svs) were used for embedding the watermark image into host image. 2‐D chaotic Arnold transform (AT) is used for providing extra security to the watermark image by encrypting the watermarked image. Moreover, proposed technique is also tested for several wavelet families. Robustness and imperceptibility of the proposed technique is enhanced as depicted in experimental results under various attacks. Furthermore, better robustness is attained from proposed technique on comparing it with other formerly reported schemes.

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An improved SVD-based watermarking scheme for protecting rightful ownership

Cited by 161 publications

References 48 publications

A robust audio watermarking scheme based on reduced singular value decomposition and distortion removal

A robust audio watermarking scheme based on reduced singular value decomposition and distortion removal

A Normalized SVD based Image Watermarking with an Enhanced Robustness and Imperceptibility

A Secured and Robust Medical Image Watermarking Approach for Protecting Integrity of Medical Images

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