DocumentCode
1556090
Title
Multiresolution image modelling
Author
Wilson, R.
Author_Institution
Dept. of Comput. Sci., Warwick Univ., Coventry, UK
Volume
9
Issue
2
fYear
1997
fDate
4/1/1997 12:00:00 AM
Firstpage
90
Lastpage
96
Abstract
A novel approach to the statistical modelling of images based on widely used multiresolution image representations, such as pyramids and wavelets, is presented. It is shown how models which are causal in the scale dimension provide an effective way of expressing the concept of successive approximation, or coarse-fine refinement, by the addition of details to the coarse structure of images. The ideas are illustrated using applications including image enhancement, data compression and segmentation
Keywords
approximation theory; data compression; image coding; image enhancement; image representation; image resolution; image segmentation; transform coding; wavelet transforms; coarse structure; coarse-fine refinement; data compression; data segmentation; image enhancement; multiresolution image modelling; multiresolution image representation; pyramids; scale dimension; statistical modelling; successive approximation; wavelets;
fLanguage
English
Journal_Title
Electronics & Communication Engineering Journal
Publisher
iet
ISSN
0954-0695
Type
jour
DOI
10.1049/ecej:19970206
Filename
588560
Link To Document