Nakassis, A.
and Youssef, A.
(1998),
Moment-Preserving Modeling With Image Applications, Proceedings of the International Conference on Imaging Science, Systems, and Technology : CISST '98, Las Vegas, NV, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=150733
(Accessed October 16, 2025)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Moment-Preserving Modeling With Image Applications
Published
Author(s)
,
Abstract
Linear least-square modeling is a powerful modeling approach. Optimal piece-wise constant modeling is an important special case. In this paper we will develop a piece-wise constant modeling method that preserves the regional means and regional first absolute central moments, thus preserving important visual properties in images. The method will be used for two practical image applications: (1) image preprocessing techniques for better edge detection, and (2) dynamic range adjustment of images to meet display constraints. Our method yields better performance than existing standard techniques for those applications.Proceedings Title
Proceedings of the International Conference on Imaging Science, Systems, and Technology : CISST '98
Conference Dates
July 6-9, 1998
Conference Location
Las Vegas, NV
Conference Title
International Conference on Imaging Science, Systems, and Technology
Pub Type
Conferences
Download Paper
Keywords
dynamic range adjustment, edge detection, modeling, moment preservation
Citation
Issues
If you have any questions about this publication or are having problems accessing it, please contact [email protected].
Created July 6, 1998, Updated February 19, 2017