Can interpolation be combined effectively with binarization using VQ Vector quantization has established itself as a powerful tool in speech and image processing problems that require clustering and classifications. P.C. Cosman, K.L. Oehler, E.A. Riskin, and R.M Gray. Using vector quantization for image processing . P.C. Cosman et al. Using vector quantization for image processing .
Some visual results show the improvement introduced by our approach.
VQ is used as an encoding mechanism or to provide the dimensionality reduction needed for the classifiers. The filtered sequence g n is the one obtained by the compression decompression with a loss tolerance set to the optimal distortion. They suggested that the encoding decoding process introduces some non linear smoothing of the image that removes some kinds of noise, specially speckle noise. Therefore , VQ can be considered as an instance of Occam filters. However , some specific characteristics of VQ must be taken into account.