.: Click here to download :.
The outstanding progress of digital technology has increased the ease
with which digital data is reproduced and retransmitted. However,
since the advantages of such a progress are broadly available, they
offer equally increasing potential to both legal and unauthorized data
manipulation. Consequently, the necessity arises for copyright
protection of digital products against unauthorized recording
attempts, knows as data piracy. Current research in image, audio and
video copyright protection exploits the fact that the human visual and
audio perception cannot detect slight changes in certain temporal or
frequency domains of the image and the audio signal, respectively.
This property is called masking, according to which a faint but
perceptible signal becomes non-perceptible in the presence of another
one under certain conditions. Most research methods consider a
watermark signal produced in a unique way by a function of one or more
input keys. These keys can be both owner and signal dependent and
generate a signal which is embedded on the original one. The embedding
signal is known as a watermark or copyright label. Temporal and
frequency characteristics of the original signal should be taken into
account in the watermark casting process to reduce perceptible
distortions in the watermarked signal. Each individual that produces
or possesses digital data owns a unique key that identifies its legal
possession and is required for the watermark detection. Besides
copyright purposes, a watermark serves authentication purposes, as
well.
A watermark has to be statistically undetectable by others to
prevent the efforts of its unauthorized removal. This condition is
fulfilled if the potential number of keys that produce distinct
watermarks is large enough to ensure statistical safety. The detection
scheme should be as statistically reliable as possible. False
rejection or acceptance of the existence of the watermark should be
minimal. Finally, a watermark has to be robust to signal manipulation
and impossible to be removed without significant alteration of the
signal. In other words, a pirate should have to destroy the audio
signal before he accomplishes to destroy the watermark. The robustness
should extend to common signal processing operations, such as
filtering, compression, resampling, requantization, cropping, noise,
D/A conversion.
Index Terms: Matlab, source, code, watermarking, watermark, detection, embedding, audio, copyright, protection.
 |
Figure 1. Copyright protection |
||||||||||||||
|
A simple and effective source code for Digital Audio Watermarking. |
|||||||||||||||
|
|
Demo code (protected
P-files) available for performance evaluation. Matlab Signal Processing Toolbox is required. |
||||||||||||||
|
Release |
Date |
Major features |
|||||||||||||
|
1.0 |
2008.04.19 |
|
|||||||||||||
We recommend to check the secure connection to PayPal, in order to avoid any fraud. This donation has to be considered an encouragement to improve the code itself. |
|||||||||||||||
Digital Audio Watermarking - Click here for
your donation. In order to obtain the source code you
have to pay a little sum of money: 90 EUROS (less
than 126 U.S. Dollars). |
|||||||||||||||
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 Digital Audio Watermarking. 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 Signal 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.
