Dynamic Region-Based Wavelet Coding for Telemedicine Applications.
In this thesis, a novel image compression scheme is presented which is specially well suited for image transmission over the narrow-band networks typically required for telemedicine to remote regions. A wavelet compression algorithm is enhanced with the ability to dynamically compress different regions of the image. This feature is provided while keeping the algorithm's embedding ability, which leads to an "importance" embedding rather than the traditional "energy" based embedding. To incorportate region selection in a wavelet-based compression algorithm, the region edges are carefully tuned to eliminate the negative influence that the wavelet transform has on the region algorithm. Tests of this new algorithm on standard test images and ultrasound images showed that both the embedding and region-based features can be dynamically imcorporated into the wavelet algorithm with only a small overhead.