Paper
28 February 2007 Nonlocal evolutions for image regularization
Guy Gilboa, Stanley Osher
Author Affiliations +
Proceedings Volume 6498, Computational Imaging V; 64980U (2007) https://doi.org/10.1117/12.714701
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States
Abstract
A nonlocal quadratic functional of weighted differences is examined. The weights are based on image features and represent the affinity between different pixels in the image. By prescribing different formulas for the weights, one can generalize many local and nonlocal linear denoising algorithms, including nonlocal means and bilateral filters. The steepest descent for minimizing the functional can be interpreted as a nonlocal diffusion process. We show state of the art denoising results using the nonlocal flow.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Guy Gilboa and Stanley Osher "Nonlocal evolutions for image regularization", Proc. SPIE 6498, Computational Imaging V, 64980U (28 February 2007); https://doi.org/10.1117/12.714701
Lens.org Logo
CITATIONS
Cited by 21 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image segmentation

Denoising

Diffusion

Radio over Fiber

Image processing algorithms and systems

Linear filtering

Image processing

Back to Top