2007-10-312007-10-311995-05-012001-08-22"Image Data Compression," <i>Masters Thesis,</i> 1995.https://hdl.handle.net/1911/20442Masters ThesisWavelet-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 framweork 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).engwaveletimage data compressionImage Processing and Pattern analysisThesiswaveletimage data compression