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

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Proceedings of International Conference on Image Processing

Volume 3 - 1997

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

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Volume 2 - 1997

Volume 1 - 1997

Proceedings of 3rd IEEE International Conference on Image Processing

Proceedings., International Conference on Image Processing

Proceedings of 1st International Conference on Image Processing

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

Content Provider	IEEE Xplore Digital Library
Author	Kimmel, R. Malladi, R. Sochen, N.
Copyright Year	1997
Description	Author affiliation: Dept. of Math., California Univ., Berkeley, CA, USA (Kimmel, R.)
Abstract	We introduce a new geometrical framework for image processing. This framework finds a seamless link between the TV-L/sub 1/ and the L/sub 2/ 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 one to introduce new methods to deal with images in a simple and natural way. A functional called "Polyakov (1981) action", borrowed from high energy physics, is shown to be useful for image enhancement in color, texture, volumetric medical data, movies, and more.
Starting Page	368
Ending Page	371
File Size	786546
Page Count	4
File Format	PDF
ISBN	0818681837
DOI	10.1109/ICIP.1997.632121
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-10-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Color Rough surfaces Surface roughness Motion pictures Surface treatment Laboratories Image processing Biomedical imaging Smoothing methods Colored noise
Content Type	Text
Resource Type	Article

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