A Joint DWT-DCT Based Robust Digital Watermarking Algorithm for Ownership Verification of Digital Images

Laskar, Rabul Hussain; Choudhury, Madhuchanda; Chakraborty, Krishna; Chakraborty, Shoubhik

doi:10.1007/978-3-642-22786-8_61

Cited by 15 publications

(8 citation statements)

References 5 publications

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“…An image watermarking scheme can be classified into two domains: spatial domain and transform domain. Image watermarking in transform domain are superior due to its excellent performance in comparison to an image watermarking in spatial domain [5][6][7][8][9][10][11][15][16][17][18][19]. In recent years several techniques are introduced in transform domain, among which wavelet transform appear as best technique due to its property of frequency localization [22].…”

Section: Introductionmentioning

confidence: 99%

“…Inducement of this scheme is to develop a watermarking scheme where the original image is not required during extraction of watermark. Ali Al-Haj [6] and R H Laskar et al [7] proposed a scheme in which DWT and Discrete Cosine Transform (DCT) are combined for an image watermarking. The combination of both the transform improves the performance in comparison to only the DWT watermarking.…”

Section: Introductionmentioning

confidence: 99%

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Crypto-SVD based robust and protected digital image watermarking in discrete wavelet transform domain

Mishra¹,

Rout²,

Budipi³

2017

IJET

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With increase in image based applications, the necessity of providing security for the image data increases. Watermarking provides one of the best solution to overcome this issue. This paper presents the Crypto-SVD based robust image watermarking in Discrete wavelet transform (DWT) domain, in which the combination of cryptography and singular value decomposition (SVD) is applied in the DWT domain. The DWT is applied to the grayscale host image, which divides the image into low frequency (LL subband) and high frequency (HH, HL and LH subbands). The SVD is applied to HH subband and then encrypted watermark is embedded in the singular matrix of the SVD. In the proposed scheme the encrypted watermark is embedded in the host image. After encryption it is very difficult to predict the encrypted watermark, which saves the watermark from getting modified or destroyed. With various attacks i.e. image processing attacks, geometrical attacks, etc. the watermark is compared with the original watermark after extraction. The experimental results validate the robustness feature of the proposed scheme.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Crypto-SVD based robust and protected digital image watermarking in discrete wavelet transform domain

Mishra¹,

Rout²,

Budipi³

2017

IJET

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“…Further performance improvements in DWT-based digital image watermarking methods could be obtained by jointing DWT with other transformation domain so that effective watermarking approaches could be developed [9][10][11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

“…A similar approach is presented in [14], where a multiple sub-bands of the third-level DWT transform of a host image are used to insert the watermark instead of the first-level LL sub-band. In the method proposed in [16], the wavelet first-level LL sub-band and the watermark image are transformed using DCT and SVD.…”

Section: Introductionmentioning

confidence: 99%

Blind image watermarking technique based on differential embedding in DWT and DCT domains

Benoraira

Benmahammed

Boucenna

2015

EURASIP J. Adv. Signal Process.

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This paper presents a new blind and robust image watermarking scheme based on discrete wavelet transform (DWT) and discrete cosine transform (DCT). Two DCT-transformed sub-vectors are used to embed the bits of the watermark sequence in a differential manner. The original sub-vectors are obtained by the sub-sampling of the approximation coefficients of the DWT transform of the host image. During the extraction stage, the simple difference between the corresponding sub-vectors of the watermarked image, gives directly the embedded watermark sequence. Experimental results demonstrate that the proposed technique successfully fulfills the requirement of imperceptibility and provides high robustness against a number of image-processing attacks, such as JPEG compression, noise adding, low-pass filtering, sharpening, and bit-plane removal. Our scheme exhibits also an acceptable to good performance against some geometrical attacks such as resizing and cropping.

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“…Laskar et al [23] proposed a DCT and DWT based watermarking technique with good imperceptibility and higher robustness. Divecha and Jani [24] proposed a DCT-DWT and SVD based watermarking technique satisfying the trade off [25] proposed a DWT-DCT-SVD based watermarking technique using zigzag mapping of DCT coefficients in the High-High (HH) band of DWT.…”

Section: Introductionmentioning

confidence: 99%

Fusion Framework for Robust and Secured Watermarking

Sharma¹,

Goyal²,

Brar³

2014

IJCA

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This paper presents a robust and secure watermarking technique for digital image. To implement the technique, Discrete Wavelet Transform (DWT) is applied on cover image. Further on Low-Low (LL) sub-band of DWT, Discrete Cosine Transform (DCT) is applied which is followed by Singular Value Decomposition (SVD). To introduce the secure watermarking, watermark is secured using Arnold Transformation and embedded in the cover image. Parameters such as Peak Signal to Noise Ratio (PSNR) and Normalized Correlation (NC) are used for checking the reliability of the proposed technique. Different attacks like noise, filtering, rotation, cropping, flipping, and compression are applied on watermarked image to check the robustness of the proposed approach.

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A Joint DWT-DCT Based Robust Digital Watermarking Algorithm for Ownership Verification of Digital Images

Cited by 15 publications

References 5 publications

Crypto-SVD based robust and protected digital image watermarking in discrete wavelet transform domain

Crypto-SVD based robust and protected digital image watermarking in discrete wavelet transform domain

Blind image watermarking technique based on differential embedding in DWT and DCT domains

Fusion Framework for Robust and Secured Watermarking

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