Hardware Based Wavelet Transformations
Matthias Hopf, Thomas Ertl · 2000
Many filtering and feature extraction algorithms use wavelet or related multiscale representations of vol-ume data for edge detection and processing. Due to the computational complexity of these approaches no interactive visualization of the extraction process is possible nowadays. Using the hardware of modern graphics workstations for wavelet decomposition and reconstruction is a first important step for removing lags in the visualization cycle. 1