Suggestions(2)
Exact(1)
The encryption of the watermark and the choice of embedded areas based on the perceptivity not only confer the watermark with good invisibility but also with good robustness.
Similar(58)
This module also supports the implementation of an optional 'dropbox' feature, that constructs a webpage embedded area into which users may easily 'drag-and-drop' XGMML files for automatic parsing and subsequent visualization.
We can notice that some embedding areas may overlap because of the proximity of the corresponding feature points.
The next step is to extract a set of feature points that will act as centers of the watermark embedding areas.
Since the approximation coefficients are supposed to be relatively stable and less sensitive to slight changes of the audio signal, they are ideal embedding area.
More formally, for each embedding area g i (x, y), i = 1... M (where M is the number of feature points) of the normalized image we additively embed the DCT-domain watermark as follows D C T ( g i w ( x, y ) ) = D C T ( g i ( x, y ) ) + α ⋅ W ( u, v ) (26).
Watermarking methods Block size of original image Mohanty's method [24] Asatryan's method [27] Proposed method Selection embedding area procedure (1) Find a most perceptually significant set of blocks constituting a subimage (equal to size of watermark) with respect to human perception such as Texture, Location, Contrast, Luminance, and Edginess in original image.
where i = 1,..., M, w i (x, y) is the image with same size as f x, y) and non-zero only in the i th embedding area (where w o is located), and f 0 w ( x, y ) = f ( x, y ).
In this section, the differences and excellences of proposed method with two related methods [24, 27] are introduced in four conventional different steps of watermarking methods: (1) selecting embedding area procedure, (2) watermark creation procedure, (3) inserting procedure, (4) extracting procedure.
The number of the space accepted components differs highly from other embedded system areas hindering usage of the latest technologies and components.
The last section of the chapter includes textual descriptions, but no code for other embedded application areas, including digital video, automotive systems, hard disks, and networking.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com