A new nonlinear diffusion method to improve image quality

Yue Zhang, Xiaoyin Xu, Hongmin Cai, S. P. Yung, Stephen T. Wong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

We propose a nonlinear diffusion method based on the gradient vector field construction to remove noises in image while preserving fine details. The bloeky effect and over-smoothing, as usually seen in images processed by diffusion operators, are greatly reduced by our method. Results obtained from various images, including synthetic and magnetic resonance imaging (MRI), are used to demonstrate the performance of our new method. Comparing it with other diffusion methods, we find it obtains better performance in terms of removing noises without destroying detail features of images.

Original languageEnglish (US)
Title of host publication2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings
Volume1
DOIs
StatePublished - Dec 1 2006
Event14th IEEE International Conference on Image Processing, ICIP 2007 - San Antonio, TX, United States
Duration: Sep 16 2007Sep 19 2007

Other

Other14th IEEE International Conference on Image Processing, ICIP 2007
CountryUnited States
CitySan Antonio, TX
Period9/16/079/19/07

Keywords

  • Diffusion
  • Noise removal
  • PDE

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'A new nonlinear diffusion method to improve image quality'. Together they form a unique fingerprint.

Cite this