Images as embedding maps and minimal surfaces: A unified approach for image diffusion

R. Kimmel*, R. Malladi, N. Sochen

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

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 languageEnglish
Pages368-371
Number of pages4
StatePublished - 1997
Externally publishedYes
EventProceedings of the 1997 International Conference on Image Processing. Part 2 (of 3) - Santa Barbara, CA, USA
Duration: 26 Oct 199729 Oct 1997

Conference

ConferenceProceedings of the 1997 International Conference on Image Processing. Part 2 (of 3)
CitySanta Barbara, CA, USA
Period26/10/9729/10/97

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