Vector quantization in DCT domain using fuzzy possibilistic c-means based on penalized and compensated constraints

@article{Liu2002VectorQI,
  title={Vector quantization in DCT domain using fuzzy possibilistic c-means based on penalized and compensated constraints},
  author={Shao-Han Liu and Jzau-Sheng Lin},
  journal={Pattern Recognition},
  year={2002},
  volume={35},
  pages={2201-2211}
}
In this paper, fuzzy possibilistic c-means (FPCM) approach based on penalized and compensated constraints are proposed to vector quantization (VQ) in discrete cosine transform (DCT) for image compression. These approaches are named penalized fuzzy possibilistic c-means (PFPCM) and compensated fuzzy possibilistic c-means (CFPCM). The main purpose is to… CONTINUE READING