Wavelets and Imaging Informatics: A Review of the Literature

James Z. Wang
The Pennsylvania State University


Modern medicine is a field that has been revolutionized by the emergence of computer and imaging technology. It is increasingly difficult, however, to manage the ever growing enormous amount of medical imaging information available in digital formats. Numerous techniques have been developed to make the imaging information more easily accessible and to perform analysis automatically. Among these techniques, wavelet transforms have proven prominently useful not only for biomedical imaging but also for signal and image processing in general. Wavelet transforms decompose a signal into frequency bands, the width of which are determined by a dyadic scheme. This particular way of dividing frequency bands matches the statistical properties of most images very well. During the past decade, there has been active research in applying wavelets to various aspects of imaging informatics, including compression, enhancements, analysis, classification, and retrieval. This review represents a survey of the most significant practical and theoretical advances in the field of wavelet-based imaging informatics.

Full Paper in Color
(PDF, 0.5MB)
(journal page proof, 78MB)

Project Main Page

Citation: James Z. Wang, ``Wavelets and Imaging Informatics,'' Journal of Biomedical Informatics, (formerly Computers and Biomedical Research), vol. 34, no. 2, pp. 129-141, 2001.

2001 Associate Press. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the AP.

Last Modified: April 10 2001
2001, James Z. Wang