The fast wavelet transform for images developed by Mallat is a useful and powerful tool for image processing, with its main applications being compression, feature extraction and image enhancement. In particular, since this algorithm segments an image with respect to both spatial frequency and orientation, image enhancement becomes more precise and efficient. This idea is demonstrated by the removal of background noise and flaws from two digitized images of the faint galaxy VV371c. This object was first studied in the early 1980's using older and less sophisticated computer technologies and image processing techniques. We present results of the wavelet based image analysis of VV371c which yield new conclusions as to this galaxy's structure and morphological classification.

Date Published: 16 September 1994
PDF: 9 pages
Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); doi: 10.1117/12.185886

Published in SPIE Proceedings Vol. 2308:
Visual Communications and Image Processing '94
Aggelos K. Katsaggelos, Editor(s)