Two-Dimensional Processing for Acoustic Signal Space Imagery.
Abstract
Many techniques fundamental to digital image processing hold great potential for the analysis and enhancement of acoustic signal space images. Applications of this body of image processing theory and analysis techniques to acoustic signal space imagery are investigated. These techniques provide a fundamentally new approach to information extraction for this class of data. The basic elements of digital image processing investigated include: two-dimensional Fourier and Hadamard transformations of acoustic signal space images; high-pass, low-pass, band-pass and band-reject transform domain filtering and pattern modification operations; and inverse image transformations. These transform domain operations are shown to be effective tools for the isolation, suppression and enhancement of features of interest in acoustic signal space imagery. The results obtained show that the techniques of two-dimensional transform processing gives the acoustic image analyst a versatile and powerful set of investigative tools. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 1978
- Accession Number
- ADA066041
Entities
People
- J. A. Roese