  The main theme of this application is to provide an algorithm color image
watermark to manage the attacks such as rotation, scaling and translation. In
the existing watermarking algorithms, those exploited robust features are more
or less related to the pixel position, so they cannot be more robust against
the attacks. In order to solve this problem this application focus on certain
parameters rather than the pixel position for watermarking. Two statistical
features such as the histogram shape and the mean of Gaussian filtered
low-frequency component of images are taken for this proposed application to
make the watermarking algorithm robust to attacks and also AES technique is
used to provide higher security.
