TY - JOUR
T1 - A unified approach to the change of resolution
T2 - Space and grey level
AU - Werman, Michael
AU - Peleg, Shmuel
AU - Rom, Hillel
N1 - Funding Information:
This research has been supported by a grant from the Israel Academy of Scinces
PY - 1988/6/24
Y1 - 1988/6/24
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84957468026&partnerID=8YFLogxK
U2 - 10.1117/12.944709
DO - 10.1117/12.944709
M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???
AN - SCOPUS:84957468026
SN - 0277-786X
VL - 901
SP - 91
EP - 104
JO - Proceedings of SPIE - The International Society for Optical Engineering
JF - Proceedings of SPIE - The International Society for Optical Engineering
ER -