An image watermark algorithm based on discrete cosine transform block classifying

Zhao, Yuehua; Gui-xian, Cai; Yunhai, Du

doi:10.1145/1046290.1046344

Cited by 9 publications

(3 citation statements)

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“…• Transform domain: Some of the transform based watermarking techniques use Discrete Cosine Transform (DCT), Discrete Fourier Transform (DFT), Singular Value Decomposition (SVD) like the ones suggested in [6,7]. Transform-domain techniques employ various transforms, either local or global.…”

Section: Introductionmentioning

confidence: 99%

A hybrid semi-blind digital image watermarking technique using lifting wavelet transform — Singular value decomposition

Arya

Siddavatam

Ghrera

2011

2011 Ieee International Conference on Electro/Information Technology

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The lifting wavelet transform (LWT) is a recent approach to wavelet transform and singular value decomposition (SVD) is a valuable transform technique for robust digital watermarking. While LWT allows generating an infinite number of discrete biorthogonal wavelets starting from an initial one, singular values (SV) allow us to make changes in an image without affecting the image quality much. This paper presents an approach which tries to amalgamate the features of these two transforms to achieve a hybrid and robust digital image watermarking techniques. Certain performance metrics are used to test the robustness of the method against common image processing attacks.

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Section: Introductionmentioning

confidence: 99%

A hybrid semi-blind digital image watermarking technique using lifting wavelet transform — Singular value decomposition

Arya

Siddavatam

Ghrera

2011

2011 Ieee International Conference on Electro/Information Technology

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“…Some techniques of digital image watermarking in transform domain used the Discrete Cosine Transform (DCT) [5] [6]. The wavelet transform was used widely recently since the property of multiresolution analysis that it provides.…”

Section: Introductionmentioning

confidence: 99%

Digital Image Watermarking Using Iterative Blending Based on Wavelet Technique

Yang

Zhang

2009

2009 International Conference on Multimedia Information Networking and Security

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With the rapid growth of Internet technology, image watermarking techniques have been widely studied since the need for copyright protection. This paper presents a scheme of digital image watermarking using iterative blending based on Discrete Wavelet Transform (DWT). The method is based on decomposing host image and watermarking image by DWT, and then embedding the significant coefficients of watermarking image into the same part of host image using iterative blending. The watermarking won't be visible and can be extracted later. Experimental results show that the proposed watermarking technique is robust against several attacks, such as cutting, median filtering, rotation and JPEG compressing.

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“…Some of the frequency based watermarking techniques used the discrete cosine transform (DCT) like the one suggested in 2004 by Yuehua Z. et al [6]. The wavelet transform is another type of frequency domain.…”

mentioning

confidence: 99%

Image Information Hiding Using Second Order Biorthogonal Wavelets

Hajjara

Abdallah

Hudaib

2006

2006 International Conference on Information and Automation

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Image watermarking techniques have been widely studied since the need for copyright protection. In this paper, we present a method for image watermarking using the biorthogonal wavelet transform. The method is based on decomposing an image using the Discrete Wavelet Transform (DWT), and then embedding a watermark in the most significant coefficients of the transform. Biorthogonal wavelets have the property of perfect reconstruction and smoothness (vanishing points). The method proved its robustness against several attacks.

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An image watermark algorithm based on discrete cosine transform block classifying

Cited by 9 publications

References 1 publication

A hybrid semi-blind digital image watermarking technique using lifting wavelet transform — Singular value decomposition

A hybrid semi-blind digital image watermarking technique using lifting wavelet transform — Singular value decomposition

Digital Image Watermarking Using Iterative Blending Based on Wavelet Technique

Image Information Hiding Using Second Order Biorthogonal Wavelets

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An image watermark algorithm based on discrete cosine transform block classifying

Cited by 9 publications

References 1 publication

A hybrid semi-blind digital image watermarking technique using lifting wavelet transform &#x2014; Singular value decomposition

A hybrid semi-blind digital image watermarking technique using lifting wavelet transform &#x2014; Singular value decomposition

Digital Image Watermarking Using Iterative Blending Based on Wavelet Technique

Image Information Hiding Using Second Order Biorthogonal Wavelets

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Product

Resources

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A hybrid semi-blind digital image watermarking technique using lifting wavelet transform — Singular value decomposition

A hybrid semi-blind digital image watermarking technique using lifting wavelet transform — Singular value decomposition