A method of wavelet-based multiresolution volume rendering is presented for accelerating 3D reconstruction and interaction of volume data set in network. The scheme is adopted that the volume rendering takes place on client's workstation

in which volume data set on net server is first decomposed into the discrete approximation and detail coefficients by wavelet multi-resolution analyzing

and then these coefficients are orderly transmitted to client's workstation on which the low resolution image is first rendered by using approximation coefficients and successively refined by using detail coefficients as they are arriving. In this process a group of 3D Mallat filters is employed to speed up 3D wavelet decomposition and reconstruction of volume data set

and a discrete and predigested optical model for wavelet domain rendering is brought forward to satisfy real time request of volume rendering. The experiment results show that the method in this paper is highly propitious to the network for frequently selecting and interacting images

because high-quality images and/or outlines can be produced in 12.5 percent and/or much less of volume data set.