Abstract
We introduce a new geometrical framework for image processing. This framework finds a seamless link between the TV-L1 and the L2 norms that are often used in image processing, based on the geometry of the image and its interpretation as a surface. It unifies most of the current `scale space' models for images by a simple selection of one parameter, yet more important, it enables to introduce new methods to deal with images in a simple and natural way. A functional called `Polyakov action', borrowed from high energy physics, is shown to be useful for image enhancement in color, texture, volumetric medical, data, movies, and more.
| Original language | English |
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| Pages | 368-371 |
| Number of pages | 4 |
| State | Published - 1997 |
| Externally published | Yes |
| Event | Proceedings of the 1997 International Conference on Image Processing. Part 2 (of 3) - Santa Barbara, CA, USA Duration: 26 Oct 1997 → 29 Oct 1997 |
Conference
| Conference | Proceedings of the 1997 International Conference on Image Processing. Part 2 (of 3) |
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| City | Santa Barbara, CA, USA |
| Period | 26/10/97 → 29/10/97 |