  Insertion of a text message, audio data or/and an image into another image or
3D model is called as a watermarking process. Watermarking has variety of
applications like: Copyright Protection, Owner Identification, Copy Protection
and Data Hiding etc., depending upon the type of watermark insertion algorithm.
Watermark remains in the content after applying various attacks without any
distortions. The blind watermarking method used in the system is based on a
wavelet transform, a fuzzy inference system and a multi-resolution
representation (MRR) of the 3d model. The watermark scrambled by Arnold
Transform is embedded in the wavelet coefficients at third resolution level of
the MRR. Fuzzy logic approach used in the method makes it to approximate the
best possible gain with an accurate scaling factor so that the watermark
remains invisible. The fuzzy input variables are computed for each wavelet
coefficient in the 3D model. The output of the fuzzy system is a single value
which is a perceptual value for each corresponding wavelet coefficient. Thus,
the fuzzy perceptual mask combines all these non-linear variables to build a
simple, easy to use HVS model. Results shows that the system is robust against
affine transformations, smoothing, cropping and noise attacks.
