Abstract
Multiple resolution analysis of images is a current trend in computer vision. In most cases, only spatial resolution has been considered. However, image resolution has an additional aspect: gray level, or color, resolution. Color resolution has traditionally been considered in the area of computer graphics. By defining a suitable measure for the comparison of images, changes in resolution can be treated with the same tools as changes in color resolution. A gray tone image, for example, can be compared to a halftone image having only two colors (black and white), but of higher spatial resolution. An important application can be in pyramids, one of the most commonly used multiple (spatial) resolution schemes, where this approach provides a tool to change the color resolution as well. Increasing color resolution while reducing spatial resolution to retain more image details and prevent aliasing is an example of the possibility to And optimal combinations of resolution reduction, spatial and color, to best fit an application.
| Original language | English |
|---|---|
| Pages (from-to) | 739-742 |
| Number of pages | 4 |
| Journal | IEEE Transactions on Pattern Analysis and Machine Intelligence |
| Volume | 11 |
| Issue number | 7 |
| DOIs | |
| State | Published - Jul 1989 |
Bibliographical note
Funding Information:Manuscript received April 13, 1987; revised February 13. 1989. This work was supported by a grant from the Israel Academy of Sciences. The authors are with the Department of Computer Science, The Hebrew University of Jerusalem. 91904 Jerusalem, Israel. IEEE Log Number 892805 1.