Adaptive blind wavelet-based watermarking technique using tree mutual differences

Al-Otum, Hazem Munawer; Samara, Nedal Abdul

doi:10.1117/1.2372467

Cited by 6 publications

(3 citation statements)

References 15 publications

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“…5,12,23 In general, if ρ is more than a chosen threshold T p , then the watermark is present; otherwise it is absent. To ensure that the false detection probability does not exceed 10 − 8 , the threshold T p is chosen as: 5,12,23 …”

Section: Watermark Detection Based On Hc-pw/secpmentioning

confidence: 99%

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Semiblind copyright protection of color images based on a hybrid classified watermarking technique

Al-Otum

2011

J. Electron. Imaging

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Color image watermarking with high imperceptibility and robustness capabilities is still an emerging topic in the field of multimedia copyright protection. A novel approach for robust and semiblind watermarking of still color images in the wavelet domain is proposed. The proposed technique utilizes the human visual system characteristics, and an innovative watermark weight-calibrating procedure to create various watermarks at different classes of the color image under consideration. It decomposes the input color image into specific classes where each class is applied to an appropriate watermarking procedure that takes into account its grayness and/or chromaticity behaviors on a pixel-wise and color permissibility basis. The experimental results have shown that the proposed technique exhibits very high imperceptibility (80.1 to 89.2 dB) and is sufficiently robust to guard against JPEG compression, additive noise, filtering, moderate cropping, scaling, and other common image manipulations. © 2011 SPIE and IS&T.

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Section: Watermark Detection Based On Hc-pw/secpmentioning

confidence: 99%

“…An extension of this algorithm is given in Ref. 12, where the quantization step was discarded, and, instead, a modified scheme using tree mutual differences is introduced. The encoder adaptively searches for the bit host difference in such a manner to minimize the embedding error.…”

Section: Introductionmentioning

confidence: 99%

Semiblind copyright protection of color images based on a hybrid classified watermarking technique

Al-Otum

2011

J. Electron. Imaging

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“…The image adaptive based watermarking schemes are of great interest [5], [8]. These schemes have the impressive performance in transparency, sensitivity, and blind detection [6], [7], [12], [9]. The proposed scheme adaptively uses the difference value between the pair of consecutive pixels to embed the watermark bits.…”

Section: Introductionmentioning

confidence: 98%

An adaptive gray-scale image watermarking scheme using smooth and edge areas of an image

Dharwadkar

Amberker

2013

2013 International Conference on Intelligent Systems and Signal Processing (ISSP)

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In this paper, we propose an adaptive watermarking scheme for gray-scale images. The proposed scheme use the difference between the consecutive and non-overlapping pair of pixels to embed the watermark bits. The watermark is embedded into the pair of pixels using least-significant bit(LSB) substitution method. The difference between pair of pixels is used to determine the smooth and edge regions of the image. In smooth region less number of watermark bits are embedded and in edge region more number of watermark bits are embedded. The pixels of the cover image are categorized into different types using the embedding capacity which is determined by the difference between the pair of pixels. For any pair of consecutive pixels, both pixels are embedded with variable bits of watermark using LSB substitution method. Here, the number of bits to be embedded is decided based on the category to which the difference value belongs. After embedding, the difference value between embedded pair of pixels is retained by readjustment so that the quality of the image is maintained and embedding capacity is improved. The experimental results show that the proposed scheme has high embedding capacity and less distortion in embedded images.

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Dynamic energy enabled differentiation (DEED) image watermarking based on human visual system and wavelet tree classification

Tsai¹

2009

Multimed Tools Appl

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Adaptive blind wavelet-based watermarking technique using tree mutual differences

Cited by 6 publications

References 15 publications

Semiblind copyright protection of color images based on a hybrid classified watermarking technique

Semiblind copyright protection of color images based on a hybrid classified watermarking technique

An adaptive gray-scale image watermarking scheme using smooth and edge areas of an image

Dynamic energy enabled differentiation (DEED) image watermarking based on human visual system and wavelet tree classification

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