| Author(s): |
Anastase Nakassis; Abdou S. Youssef; |
| Title: |
Moment-Preserving Modeling With Image Applications |
| Published: |
July 06, 1998 |
| 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. |
| Conference: |
International Conference on Imaging Science, Systems, and Technology |
| Proceedings: |
Proceedings of the International Conference on Imaging Science, Systems, and Technology : CISST '98 |
| Pages: |
pp. 37 - 40 |
| Location: |
Las Vegas, NV |
| Dates: |
July 6-9, 1998 |
| Keywords: |
dynamic range adjustment;edge detection; modeling;moment preservation |
| Research Areas: |
Math |
| PDF version: |
 Click here to retrieve PDF version of paper (327KB) |
