Image Data Compression using Wavelet Decomposition


                           Dong Wei
          Department of Electrical and Computer Engineering
                        Rice University
                     Houston, TX 77251-1892


  Wavelet-based multi-resolution representation has become a cutting-edge 
  technology in the area of image data compression. Though the discrete wavelet
  transform is closely related to the perfect-reconstruction octave-band filter 
  banks used in subband coding schemes, wavelets have provided very promising 
  new ideas and insights for image data compression. Wavelet-based coding 
  techniques have achieved competitive performance compared with other 
  well-known image coding techniques. This thesis develops a general framework 
  for wavelet-based lossy image coding. We discuss two application problems 
  and develop the corresponding fast algorithms using wavelet-based techniques 
  (e.g., optimum wavelet-packet bases selection, wavelet-domain 
  soft-thresholding).