A unified approach to the change of resolution: Space and grey level

Michael Werman, Shmuel Peleg, Hillel Rom

Research output: Contribution to journalArticlepeer-review

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: grey 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 grey tone image, for example, can be compared with a half-tone 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 find optimal combinations of resolution reduction, spatial and color, to best fit an application.

Original languageAmerican English
Pages (from-to)91-104
Number of pages14
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume901
DOIs
StatePublished - 24 Jun 1988

Bibliographical note

Funding Information:
This research has been supported by a grant from the Israel Academy of Scinces

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