PDE-based non-linear diffusion techniques for denoising scientific and industrial images: An empirical study

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4667, Issue , 2002, Pages 279-290

  Weeratunga, Sisira K ^a   Kamath, Chandrika ^a  

^a LAWRENCE LIVERMORE NATIONAL LABORATORY   (United States)

Author keywords

Denoising; Non linear isotropic diffusion; Partial differential equations

Indexed keywords

DATA REDUCTION; DIFFUSION; NONLINEAR FILTERING; PARTIAL DIFFERENTIAL EQUATIONS; SPURIOUS SIGNAL NOISE;

DENOISING;

IMAGE PROCESSING;

EID: 0036055369     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.467989     Document Type: Conference Paper

References (15)

1. Scale-space and edge detection using anisotropic diffusion
2. Scale-space and edge detection using anisotropic diffusion
3. A unified approach to noise removal, image enhancement, and shape recovery
4. Robust anisotropic diffusion
5. Efficient and reliable schemes for nonlinear diffusion filtering
6. Two deterministic half-quadratic regularization algorithms for computed imaging
7. Non-linear image processing: Modeling and fast algorithm for regularization with edge detection
8. A multi-scale approach to non-uniform diffusion
9. Nonlinear diffusion with multiple edginess thresholds