DocumentCode
2904869
Title
Image enhancement and filtering using wavelets
Author
Prager, Kenneth E. ; Singer, Paul F.
Author_Institution
Hughes Aircraft Co., El Segundo, CA, USA
fYear
1991
fDate
4-6 Nov 1991
Firstpage
169
Abstract
The authors report on the results of an analysis of the wavelet transform and its use as a tool for image enhancement and filtering in knowledge-based systems. They review the concept of the wavelet transform. A convolution theorem for the wavelet transform and a filter model are described, which uses a wavelet orthonormal basis set. This model is compared to the linear filter model for image enhancement and filtering. The wavelet filter is applied to a set of degraded sample imagery. Applied operations include edge detection and sharpening
Keywords
computerised picture processing; filtering and prediction theory; knowledge based systems; transforms; convolution theorem; edge detection; edge sharpening; image enhancement; image filtering; knowledge-based systems; linear filter model; orthonormal basis set; wavelet filter; wavelet transform; Convolution; Degradation; Filtering; Image analysis; Image edge detection; Image enhancement; Knowledge based systems; Nonlinear filters; Wavelet analysis; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 1991. 1991 Conference Record of the Twenty-Fifth Asilomar Conference on
Conference_Location
Pacific Grove, CA
ISSN
1058-6393
Print_ISBN
0-8186-2470-1
Type
conf
DOI
10.1109/ACSSC.1991.186435
Filename
186435
Link To Document