The Performance of Wavelets for Data Compression in Selected Military Applications
Abstract
Wavelets provide a new mathematical and computational approach to representing image data. A wavelet basis is a complete orthonormal system of functions in terms of which image data can be represented. The low computational complexity of the wavelet transform and the bounded support of the wavelet basis functions off high retention of information that typically corresponds to image features, and low workload for computing, compressing, and reconstituting image data. Aware conducted computational experiments to determine the contribution of wavelets to solving two classes of practical problem: 1. Position location by matching observations to a stored image. 2. Identification of objects of specific size or characteristics and sensory clutter. The results suggest that compression using wavelets preserves more than enough information to register position correctly using position reconstituted reference images that have been compressed in excess of 100:1. A variety of analysis made to develop an indication of the relationship between information loss and compression are reported.
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 23, 1990
- Accession Number
- ADA219230
Entities
People
- Howard L. Resnikoff