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.
|Number of pages||4|
|State||Published - 1997|
|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||Proceedings of the 1997 International Conference on Image Processing. Part 2 (of 3)|
|City||Santa Barbara, CA, USA|
|Period||26/10/97 → 29/10/97|