Title :
Multiresolution image modelling
Author_Institution :
Dept. of Comput. Sci., Warwick Univ., Coventry, UK
fDate :
4/1/1997 12:00:00 AM
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;
Journal_Title :
Electronics & Communication Engineering Journal
DOI :
10.1049/ecej:19970206
