Wavelet-assisted volume ray casting.
Volume rendering is an important technique for computational biology. In this paper we propose a new wavelet-assisted volume ray casting algorithm. The main idea is to use the wavelet coefficients for detecting the local frequency, and decide the appropriate sampling rate along the ray according to the maximum frequency. Our algorithm is to first apply the 3D discrete wavelet transform on the volume, then create an index volume to indicate the necessary sampling distance at each voxel. During ray casting, the original volume is traversed in the spatial domain, while the index volume is used to decide the appropriate sampling distance. We demonstrate that our algorithm provides a framework for approximating the volume rendering at different levels of quality in a rapid and controlled way.
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Software Production Research Department, Bell Labs, Naperville, IL 60566, USA.
D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D003198:Computer Simulation; D005583:Fourier Analysis; D007091:Image Processing, Computer-Assisted; D007501:Iron; D008667:Metalloproteins / Q000737:chemistry
D008667:Metalloproteins; D007501:Iron