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Proceedings ArticleDOI

Multiresolution digital watermarking for still image

Xia-Mu Niu, +1 more
- Vol. 2, pp 547-556
TLDR
Experimental results show that the proposed multiresolution-based method for embedding a gray-level digital watermark into an image results in an almost invisible difference between the watermarked image and the original image, and is robust to common image processing operations and JPEG lossy compression.
Abstract
The watermarking technique has been proposed as a method of hiding secret information in an image to protect the copyright of multimedia data. However, most previous work have focused on algorithms for embedding 1D watermarks or 2D binary digital watermarks. In this paper, a multiresolution-based method for embedding a gray-level digital watermark into an image is proposed. By taking advantage of multiresolution signal decomposition, both the watermark and the original image are decomposed into multiresolution representations with different structures, and then the decomposed watermarks of different resolutions are embedded into the corresponding resolution of the decomposed original image. For embedding conveniently, the gray-level digital watermark is decomposed into a series of binary digital images by means of a still-image decomposition technique. By embedding the watermark into the relationship between different layers within the transformed original image, the algorithms can extract the watermark without the original image. Experimental results show that the proposed technique results in an almost invisible difference between the watermarked image and the original image, and is robust to common image processing operations and JPEG lossy compression.

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Citations
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Journal ArticleDOI

Progressive quantized projection approach to data hiding

TL;DR: A new image data-hiding technique that modifies blocks of the image after projecting them onto certain directions to ensure successful data extraction without the need for the original image at the receiver side is proposed.
Proceedings ArticleDOI

A robust approach for qualitative compression in JPEG 2000 standard

TL;DR: The proposed method out performs the existing methods and the simulation results of the new proposed algorithm shows better performance and the values of PSNR and Compression ratios clearly show the robustness of the algorithm in compression of the images.
Proceedings ArticleDOI

Performance comparison of watermarking techniques of various domains

TL;DR: Techniques based on Backpropagation neural network, Full counterpropagations neural network and Adaptive resonance theory(ART) have been developed and tested by the author for watermarking and the results have shown positive results in increasing robustness, fidelity and payload capacity of watermarks.
Journal Article

Digital Watermarking modelled as noise in communication channel and optimization of desirable characteristics using Adaptive Resonance Theory (ART)

TL;DR: Neural network ART based technique can be employed to create and reproduce watermark with reasonably high values of robustness and fidelity.
References
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Journal ArticleDOI

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Multiresolution Signal Decomposition: Transforms, Subbands, and Wavelets

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