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Moment-Preserving Modeling With Image Applications

Published

Author(s)

Anastase Nakassis, Abdou S. Youssef

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

Keywords

dynamic range adjustment, edge detection, modeling, moment preservation

Citation

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 July 14, 2024)

Issues

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Created July 6, 1998, Updated February 19, 2017