Image coding using wavelet transforms and vector quantization with error correction

  • Authors:

  • H. Zenkouar;A. Nachit

  • Affiliations:

  • Moulay Ismail University, Faculty of Sciences, L.E.T.I. Department of Physics, B.P.: 4010 Béni M'hamed, Méknès (Morocco);Moulay Ismail University, Faculty of Sciences, L.E.T.I. Department of Physics, B.P.: 4010 Béni M'hamed, Méknès (Morocco)

  • Venue:
  • Robotica
  • Year:
  • 1999

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Abstract

Image compression is essential for applications such as transmission of databases, etc. In this paper, we propose a new scheme for image compression combining recursive wavelet transforms with vector quantization. This method is based on the Kohonen Self-Organizing Maps (SOM) which take into account features of a visual system in both space and frequency domains.