Authors
Ron Kimmel, Ravi Malladi, Nir Sochen
Publication date
2000/9/1
Journal
International Journal of Computer Vision
Volume
29
Issue
2
Pages
111-129
Publisher
Kluwer Academic Publishers
Description
We extend the geometric framework introduced in Sochen et al. (IEEE Trans. on Image Processing, 7(3):310–318, 1998) for image enhancement. We analyze and propose enhancement techniques that selectively smooth images while preserving either the multi-channel edges or the orientation-dependent texture features in them. Images are treated as manifolds in a feature-space. This geometrical interpretation lead to a general way for grey level, color, movies, volumetric medical data, and color-texture image enhancement.
We first review our framework in which the Polyakov action from high-energy physics is used to develop a minimization procedure through a geometric flow for images. Here we show that the geometric flow, based on manifold volume minimization, yields a novel enhancement procedure for color images. We apply the geometric framework and the general Beltrami flow to …
Total citations
Scholar articles
R Kimmel, R Malladi, N Sochen - International Journal of Computer Vision, 2000
R Kimmel, R Malladi, N Sochen - Proceedings of IEEE Computer Society Conference on …, 1997
R Kimmel - International Journal of Computer Vision, 1997