A DCT-domain system for robust image watermarking

Barni, Mauro; Bartolini, Franco; Cappellini, V.; Piva, Alessandro

doi:10.1016/s0165-1684(98)00015-2

Cited by 622 publications

(321 citation statements)

References 14 publications

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“…However; it is intricate to determine the distortion bound. This paper assumes that the distortion bound is proportional to the value of the magnitude of the transform coefficient itself, as is commonly assumed in transform-domain watermark hiding [10][11][12]. In the case of the polar Fourier-transform hashing, the distortion bound δ Q [j] corresponding to the intermediate hash H Q [j] of the query Q in (1) is given by…”

Section: Proposed Weighted Hash Matchingmentioning

confidence: 99%

A Probabilistic Dissimilarity Matching for the DFT-Domain Image Hashing

Seo¹,

Jo²

2017

The International Journal of Advanced Culture Technology

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Section: Proposed Weighted Hash Matchingmentioning

confidence: 99%

A Probabilistic Dissimilarity Matching for the DFT-Domain Image Hashing

Seo¹,

Jo²

2017

The International Journal of Advanced Culture Technology

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“…From the perspective of the working domain where the watermark is embedded, this effective technique can be divided into spatial domain and transform domain [4]. The spatial domain methods modify the pixel value of the digital image directly to embed the watermark information.…”

Section: Introductionmentioning

confidence: 99%

RST Resilient Watermarking Scheme Based on DWT-SVD and Scale-Invariant Feature Transform

2017

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Currently, most digital image watermarking schemes are affected by geometric attacks like rotation, scaling, and translation (RST). In the watermark embedding process, a robust watermarking scheme is proposed against RST attacks. In this paper, three-level discrete wavelet transform (DWT) is applied to the original image. The three-level low frequency sub-band is decomposed by the singular value decomposition (SVD), and its singular values matrix is extracted for watermarking embedding. Before the watermarking extraction, the keypoints are selected by scale-invariant feature transform (SIFT) in the original image and attacked image. By matching the keypoints in two images, the RST attacks can be precisely corrected and the better performance can be obtained. The experimental results show that the proposed scheme achieves good performance of imperceptibility and robustness against common image processing and malicious attacks, especially geometric attacks.

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“…2) Trustworthiness [5]- [8]: a satisfactory watermarking scheme should also guarantee that it is impossible to generate forged watermarks and should provide trustworthy proof to protect the lawful ownership. 3) Robustness [9]- [12]: an unauthorized person should not be able to destroy the watermark without also making the document useless, i.e., watermarks should be robust to signal processing and intentional attacks. In particular, after common signal processing operations have been applied to the watermarked image like filtering, re-sampling, cropping, scaling, digital-to-analog, analog-to-digital conversions, compression, geometric transformation, rotation, etc., they should still be detectable.…”

Section: Introductionmentioning

confidence: 99%

A Digital Image Watermarking Algorithm Based on DWT DCT and SVD

Islam¹,

Chong²

2014

IJCCE

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Abstract-Digital watermarking techniques have been developed to protect the copyright of multimedia objects such as text, audio, video, etc. In this paper, we propose a new digital watermarking algorithm with gray image based on discrete wavelet transform (DWT), 2 dimensions discrete cosine transform (DCT) and singular value decomposition (SVD) for robust watermarking of digital images in order to protect digital media copyright efficiently. One of the major advantages of the proposed scheme is the robustness of the technique on wide set of attacks. Experimental results confirm that the proposed scheme provides good image quality of watermarked images.Index Terms-Digital image watermarking, DWT, DCT PSNR, SVD.

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A DCT-domain system for robust image watermarking

Cited by 622 publications

References 14 publications

A Probabilistic Dissimilarity Matching for the DFT-Domain Image Hashing

A Probabilistic Dissimilarity Matching for the DFT-Domain Image Hashing

RST Resilient Watermarking Scheme Based on DWT-SVD and Scale-Invariant Feature Transform

A Digital Image Watermarking Algorithm Based on DWT DCT and SVD

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