A multi-resolution representation of 3D imagery for efficient image enhancement and processing

The representation and processing of images at multiple levels of resolution is primarily used as a computational tool in image processing. Multi-resolution techniques have been used successfully for edge enhancement, data compression and transmission, and for planning, that is, images processed at a low resolution are used as a guide for processing and detecting features at a higher resolution. In this paper we generalize the methodology of 2D multi-resolution techniques to 3D, and then show some of the applications of the multiresolution technique for band-pass filtering, feature detection, and image enhancement.