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Wavelets: Applications to image compression-II

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Abstract

We explain here, the wavelet based thresholding procedure, one of the key factors behind the successful application of wavelets in image compression. We then elaborate on quantization and go on to outline the basic ideas underlying Huffman coding, the other important tool for data compression.

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Authors and Affiliations

  1. National PARAM Supercomputing Facility, Centre for Development of Advanced Computing (C-DAC), Pune University Campus, Ganesh Khind, 411 007, Pune, India

    Sachin P. Nanavati

  2. Physical Research Laboratory Navrangpura, 380 009, Ahmedabad, India

    Prasanta K Panigrahi

Authors
  1. Sachin P. Nanavati
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  2. Prasanta K Panigrahi
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Correspondence to Sachin P. Nanavati.

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Nanavati, S.P., Panigrahi, P.K. Wavelets: Applications to image compression-II. Reson 10, 19–27 (2005). https://doi.org/10.1007/BF02835837

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  • DOI: https://doi.org/10.1007/BF02835837

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