Our experiments on the proposed content based
watermarking algorithm are based on gray scale images.
The cover image used is “Lena” and watermark used is
“Rice” the scaling factor is set according to content and
quality of watermark image. The greater the scaling factor
better is the watermark detection however reducing the
overall quality of image.
Here host image and watermark image both are of size
256 x 256 and the Peak Signal to Noise Ratio is found out
to be “21.5818”. The correlation factor gives the
relationship between original watermark and extracted
watermark. For random relationship it “0” and for linear
relationship is “1”. We found the correlation to be “1” as
the image is not expose to any attacks, such as
compression, noise, filtering etc.