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Proceedings Paper

Image smoothing and enhancement via min/max curvature flow
Author(s): Ravikanth Malladi; James A. Sethian
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Paper Abstract

We present a class of PDE-based algorithms suitable for a wide range of image processing applications. The techniques are applicable to both salt-and-pepper gray-scale noise and full- image continuous noise present in black and white images, gray-scale images, texture images and color images. At the core, the techniques rely on a level set formulation of evolving curves and surfaces and the viscosity in profile evolution. Essentially, the method consists of moving the isointensity contours in an image under curvature dependent speed laws to achieve enhancement. Compared to existing techniques, our approach has several distinct advantages. First, it contains only one enhancement parameter, which in most cases is automatically chosen. Second, the scheme automatically stops smoothing at some optimal point; continued application of the scheme produces no further change. Third, the method is one of the fastest possible schemes based on a curvature-controlled approach.

Paper Details

Date Published: 13 March 1996
PDF: 13 pages
Proc. SPIE 2666, Image and Video Processing IV, (13 March 1996); doi: 10.1117/12.234732
Show Author Affiliations
Ravikanth Malladi, Univ. of California/Berkeley (United States)
James A. Sethian, Univ. of California/Berkeley (United States)


Published in SPIE Proceedings Vol. 2666:
Image and Video Processing IV
Robert L. Stevenson; M. Ibrahim Sezan, Editor(s)

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