Non-blind watermarking scheme for color images in RGB space using DWT-SVD

Dharwadkar, Nagaraj V.; Amberker, B. B.; Gorai, Avijeet

doi:10.1109/iccsp.2011.5739368

Cited by 29 publications

(10 citation statements)

References 12 publications

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“…Accordingly, we propose in this paper an algorithm of watermarking color images of ancient documents. As a first step, some classical watermarking algorithms have been tested on some images of ancient documents [1,2,6]. According to the experimental results, we have noticed, as anticipated, that the classical algorithms are not adapted to this type of images.…”

Section: Problematic Related To Watermarking Ancient Documentsmentioning

confidence: 94%

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Adaptive Watermarking Algorithm of Color Images of Ancient Documents on YIQ-PCA Color Space

Maâtouk

Amara

2015

Advances in Intelligent Systems and Computing

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Ancient documents present a very precious cultural heritage, hence the need to preserve and protect it and fight against illegal copying and pirating in its numerical form. The watermarking presents a promising solution for the copyright protection of these documents. Considering the importance in the number of color images, we propose in this paper a watermarking approach of color images from ancient documents, which adapts to the characteristics and content of each image. It is also based on the principal component analysis, the wavelet packet decomposition, and the singular value decomposition. The recorded results have shown that our algorithm has a good invisibility and an excellent robustness against different attacks relative to ancient documents.

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Section: Problematic Related To Watermarking Ancient Documentsmentioning

confidence: 94%

“…However, the blue-based components are frequently used for color image watermarking since they respect the invisible criterion, despite their fragility against signal processing attacks. [2] Multi-resolution/DWT (Discrete Wavelet Transform) [3] Three components Frequency/DCT (Discrete Cosine Transform) [4] YCbCr [5] YIQ Luminance component (Y)…”

mentioning

confidence: 99%

Adaptive Watermarking Algorithm of Color Images of Ancient Documents on YIQ-PCA Color Space

Maâtouk

Amara

2015

Advances in Intelligent Systems and Computing

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“…For this process, singular value decomposition (SVD) [11] has been applied to the ROB of crime scene image. SVD decomposes ROB in orthogonal matrix U ROB , diagonal matrix S ROB and transpose of orthogonal matrix V ROB .…”

Section: Embedding Roi Into Rob Of Crime Scene Imagementioning

confidence: 99%

SVD and chaotic system based watermarking approach for recovering crime scene image

Moniruzzaman

Hawlader

Hossain

et al. 2014

8th International Conference on Electrical and Computer Engineering

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This paper presents a watermarking approach for recovering crime scene image when the crime scene image has been tampered, based on chaotic system and singular value decomposition (SVD). At first, authentication information has been embedded into the region of information (ROI) of the scrambled crime scene image. The authentication information has been generated by using logistic map, while the scrambled crime scene image has been obtained by two dimensional Arnold's cat map. After then, ROI has been compressed by discrete cosine transform (DCT) and the compressed ROI has been embedded into region of background (ROB) by using singular value decomposition. In extraction stage, the authentication information has been extracted from the ROI of the watermarked crime scene image. If the extracted authentication information is not same as the embedded information, ROI has been extracted from the ROB. The results of the proposed method has been evaluated by using peak signal to noise ratio (PSNR) and mean squared error (MSE) performance parameters. At the same time, the proposed watermarking approach has also been compared with other methods. The proposed method gives better values of MSE and PSNR than the compared methods.

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“…Spatial and transform domain based embedding techniques are commonly used in digital watermarking. [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18] Generally most transform-based watermarking methods are considered more robust than spatially based ones; however, many spatially based techniques can be more easily implemented for use in real-time as fewer calculations may be needed. For many applications the watermark should be transparent and robust to removal as well as common image processing functions or the watermark should be fragile to easily tell if the watermark has been tampered with.…”

Section: Introductionmentioning

confidence: 99%

Fractal-based watermarking of color images

McLauchlan

Mehrübeoğlu

2011

SPIE Proceedings

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Digital watermarking continues to be an open area of research. In this work, fractals are employed to spatially embed the watermarks in the RGB domain. The watermarks are tested separately in each of the three planes R, G, and B. A blind detection scheme is utilized in which the only information required for detection is the fractals used for the embedding. Next, combinations of embedding in the RG, RB, GB, and RGB planes are used. The efficacy of the embedding combinations in the various planes are studied to determine the best combinations for the tested fractals, images and attacks. The results are compared with previously published methods by the authors.

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Non-blind watermarking scheme for color images in RGB space using DWT-SVD

Cited by 29 publications

References 12 publications

Adaptive Watermarking Algorithm of Color Images of Ancient Documents on YIQ-PCA Color Space

Adaptive Watermarking Algorithm of Color Images of Ancient Documents on YIQ-PCA Color Space

SVD and chaotic system based watermarking approach for recovering crime scene image

Fractal-based watermarking of color images

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