Share Email Print

Proceedings Paper

Detail preserving robust anisotropic diffusion for image enhancement and noise reduction
Author(s): Yi Wang; Ruiqing Niu; Pingxiang Li
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Recently, many researchers have shown interests in anisotropic diffusion methods in image processing. There are two key problems on image restoration techniques based on anisotropic diffusion: one is to build stable diffusion coefficients; the other is to select the optimal stopping time for iterative diffusion process. In this paper, a time-dependent robust anisotropic diffusion method is proposed. The new method is a robust anisotropic diffusion with incorporated time dependent cooling process, and the gradient threshold is the monotonic decreasing function of the time. Thus, the parameters settings and the estimate of the optimal stopping time can be easily resolved. Meanwhile, the proposed method can lessen the over-smooth in image edge features. In order to extent the applicability of the proposed method, we extent the model to the vector-valued form and present time-dependent multispectral robust anisotropic diffusion. Experimental results, performed on several gray images, color images and multispectral remote sensed images, have shown that the time-dependent robust anisotropic diffusion methods can effectively smooth out noise while preserving edge features.

Paper Details

Date Published: 15 November 2007
PDF: 7 pages
Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 67872N (15 November 2007); doi: 10.1117/12.750472
Show Author Affiliations
Yi Wang, China Univ. of Geosciences (China)
Ruiqing Niu, China Univ. of Geosciences (China)
Pingxiang Li, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 6787:
MIPPR 2007: Multispectral Image Processing
Henri Maître; Hong Sun; Jianguo Liu; Enmin Song, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?