The result and discussion for robustness and performance of proposed algorithm for different watermarks
information against various watermarking attacks are given in section 5.
One may think that removing a watermark
from an image entirely would be quite hard, however, given ample amount of images with a similar watermark
, an AI can quite easily analyse the watermark
's lines and curves and implement an algorithm accordingly to remove it.
is detected and extracted from the original image to achieve copy prevention, broadcast monitoring, authentication data hiding and as a proof of ownership .
We choose the knot vector to generate watermarks
since it does not change when the model is affine transformed.
One of the most useful features of uMark is the ability to save watermarks
for repeated use.
could be used to detect and highlight unauthorized modification to the protected data.
In addition, if the important data is recorded onto the downloaded software beforehand, PHISHCUT will display a warning which gives users the option to send or not send their personal information to websites the user has accessed which contain no digital watermark
The intensity and sharpness of a watermark
image must be analyzed against the background of sheet formation.
The index of mill names has been expanded to include proper names, while the iconographic index includes items pictured in the watermarks
and words other than mill names, including mottoes.
The correlation test, a popular approach for detecting robust watermarks
suggested in , is the basic detection mechanism for many robust watermarking techniques.
are digital data elements that are embedded into, and read from, video, audio and still images.
x] and therefore embedding watermarks
in these sub-bands may degrade the image significantly.