Structure preserving inhomogeneous diffusion in image filtering

Author

El-Fallah, Adel I. ; Ford, Gary E.

Author_Institution

Center for Image Processing & Integrated Comput., California Univ., Davis, CA, USA

fYear

1993

fDate

1-3 Nov 1993

Firstpage

563

Abstract

We introduce a new theory relating the magnitude of the image surface normal to an inhomogeneous diffusion that solely diffuses (averages) the mean curvature of the image surface. We discuss the remarkable properties of this diffusion stressing the regularity it imposes on regions and boundaries while preserving the locality of edges and lines. Experiments demonstrating the excellent performance of the algorithms in the areas of noise removal and enhancement are presented

Keywords

adaptive filters; differential geometry; filtering theory; image representation; nonlinear filters; algorithms; boundaries; differential geometry; edges; experiments; image filtering; image representation; image surface; lines; mean curvature; noise enhancement; noise removal; nonlinear adaptive filter; performance; regions; structure preserving inhomogeneous diffusion; Diffusion processes; Filtering; Filtering algorithms; Humans; Image processing; Information filtering; Information filters; Information geometry; Laplace equations; Postal services; Solid modeling;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

0-8186-4120-7

Type

conf

DOI

10.1109/ACSSC.1993.342579

Filename

342579