Hidden Bits In Wavelet Domain
A possible domain for watermark embedding is that of the wavelet domain. The Discrete Wavelet Transform separates an image into a lower resolution approximation image as well as horizontal, vertical and diagonal detail components. The process can then be repeated to computes multiple “scale” wavelet decomposition. One of the many advantages over the wavelet transform is that that it is believed to more accurately model aspects of the Human Visual System (HVS) as compared to the FFT or DCT. This allows us to use higher energy watermarks in regions that the HVS is known to be less sensitive to, such as the high resolution detail bands. Embedding watermarks in these regions allow us to increase the robustness of our watermark, at little to no additional impact on image quality. One of the most straightforward techniques is the embedding of a CDMA sequence in the detail bands. The wavelet domain as well proved to be highly resistant to both compression and noise, with minimal amounts of visual degradation. This is all the more impressive when one considers that the wavelet technique described here is one of the most primitive currently known. More sophisticated wavelet-domain techniques will almost certainly improve on both of these, and hopefully lower it’s computational requirements. The wavelet domain may be one of the most promising domains for digital watermarking yet found.
We have developed a new scheme for the embedding of watermark sequence with high capacity, using a multilevel approach for coefficients selection.
Index Terms: Matlab, source, code, wavelet, watermarking, capacity, human, visual, system, multilevel.
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Figure 1. Visible watermark |
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A simple and effective source code for High-Capacity Wavelet Based Watermarking. |
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Demo code (protected P-files) available for performance evaluation. Matlab Wavelet Toolbox is required. |
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Major features
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1.0
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2009.06.11 |
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We recommend to check the secure connection to PayPal, in order to avoid any fraud. |
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High-Capacity Wavelet Based Watermarking. Click here for your donation. In order to obtain the source code you have to pay a little sum of money: 100 EUROS (less than 140 U.S. Dollars).
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Once you have done this, please email us luigi.rosa@tiscali.it
As soon as possible (in a few days) you will receive our new release of High-Capacity Wavelet Based Watermarking. Alternatively, you can bestow using our banking coordinates:
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The authors have no relationship or partnership with The Mathworks. All the code provided is written in Matlab language (M-files and/or M-functions), with no dll or other protected parts of code (P-files or executables). The code was developed with Matlab 2006a. Matlab Wavelet Toolbox is required. The code provided has to be considered “as is” and it is without any kind of warranty. The authors deny any kind of warranty concerning the code as well as any kind of responsibility for problems and damages which may be caused by the use of the code itself including all parts of the source code.
Popularity: 1% [?]
A Digital Image Copyright Protection Scheme Based on Visual Cryptography
A simple watermarking method for color images is proposed. The proposed method is based on watermark embedding for the histograms of the HSV planes using visual cryptography watermarking. The method has been proved to be robust for various image processing operations such as filtering, compression, additive noise, and various geometrical attacks such as rotation, scaling, cropping, flipping, and shearing.
The watermark method is an excellent technique to protect the copyright ownership of a digital image. The proposed watermark method is built up on the concept of visual cryptography. According to the proposed method, the watermark pattern does not have to be embedded into the original image directly, which makes it harder to detect or recover from the marked image in an illegal way. It can be retrieved from the marked image without making comparison with the original image. The notary also can off-line adjudge the ownership of the suspect image by this method. The watermark pattern can be any significant black/white image that can be used to typify the owner. Experimental results show that the watermark pattern in the marked image has good transparency and robustness. By the proposed method, all the pixels of the marked image are equal to the original image.
Index Terms: Matlab, source, code, histogram, HSV, visual, cryptography, watermark, hue, saturation, value.
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Figure 1. Hue-Saturation-Value color space |
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A simple and effective source code for HSV Image Watermarking Scheme Based on Visual Cryptography. |
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Demo code (protected P-files) available for performance evaluation. Matlab Image Processing Toolbox is required.
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Release
|
Date
|
Major features
|
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|
1.0
|
2009.06.11 |
|
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|
We recommend to check the secure connection to PayPal, in order to avoid any fraud. |
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HSV Image Watermarking Scheme Based on Visual Cryptography. Click here for your donation. In order to obtain the source code you have to pay a little sum of money: 200 EUROS (less than 280 U.S. Dollars).
|
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Once you have done this, please email us luigi.rosa@tiscali.it
As soon as possible (in a few days) you will receive our new release of HSV Image Watermarking Scheme Based on Visual Cryptography. Alternatively, you can bestow using our banking coordinates:
|
|||||||||||||||
The authors have no relationship or partnership with The Mathworks. All the code provided is written in Matlab language (M-files and/or M-functions), with no dll or other protected parts of code (P-files or executables). The code was developed with Matlab 2006a. Matlab Image Processing Toolbox is required. The code provided has to be considered “as is” and it is without any kind of warranty. The authors deny any kind of warranty concerning the code as well as any kind of responsibility for problems and damages which may be caused by the use of the code itself including all parts of the source code.
Popularity: 1% [?]
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