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Cynthia de Garceau of Watermark Properties represented Nash.
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However, error probability may be confused with other watermarking properties.
This also means that the interpretation and significance of watermarking properties can vary with the application.
An image watermarking application may have different objectives, which determine the necessary watermarking properties for that application.
On the basis of our proposed model, fundamental watermarking properties are defined and their importance exemplified for different image applications.
There may be some variants of such an embedding scheme (depending upon different watermarking properties like 'blindness', 'robustness', etc).
Using the proposed model, we seek to define a set of watermarking properties based on the application requirements.
Proper consideration of watermarking properties and application scenarios, on the other hand, is highly critical for the development and use of a watermarking scheme.
We explored the need for the watermarking model and showed some uses of the model to define a few watermarking properties and attacks.
Watermarking schemes can be classified into two groups: based on watermarking properties, based on watermarking domain, and based on several key properties–– such as, robustness, security, complexity, imperceptibility, capacity, and detection.
The model, however, may not be able to address many other watermarking properties due to limited considerations of the inputs, outputs and component functions.
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