Abstract
Volume data has been increasingly used in a wide range of applications in science and engineering. Advance in computer as well as in digital measuring technology have greatly increased the size and complexity of volume data. This sharp growth in data size is overwhelming the limit of the storing and processing capacity of traditional computer systems, and therefore an efficient data compression method is required. Considering this necessity, we have focused on a lossy compression method based on Kriging interpolation and extrema points. The compressed data will be composed of the extrema points, used as key points for data restoring, and three parameter values obtained from the entire data. Therefore, a great reduction in data size can be achieved. However, the parameter values and the starting points should be carefully selected in order to obtain good results. In this report, we present some results obtained from the KVS-based kriging compressor and discuss the potentials and problems of this proposed method.
