Paper
15 February 2012 Patch-wise ideal stopping time for anisotropic diffusion
Hossein Talebi, Peyman Milanfar
Author Affiliations +
Proceedings Volume 8305, Visual Information Processing and Communication III; 83050G (2012) https://doi.org/10.1117/12.908698
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States
Abstract
Data-dependent filtering methods are powerful techniques for image denoising. Beginning with any base procedure (nonlinear filter), repeated applications of the same process can be interpreted as a discrete version of anisotropic diffusion. As such, a natural question is "What is the best stopping time in iterative data-dependent filtering?" This is the general question we address in this paper. To develop our new method, we estimate the mean-squared-error (MSE) in each image patch. This estimate is used to characterize the effectiveness of the iterative filtering process, and its minimization yields the ideal stopping time for the diffusion process.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hossein Talebi and Peyman Milanfar "Patch-wise ideal stopping time for anisotropic diffusion", Proc. SPIE 8305, Visual Information Processing and Communication III, 83050G (15 February 2012); https://doi.org/10.1117/12.908698
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KEYWORDS
Diffusion

Electronic filtering

Image filtering

Nonlinear filtering

Anisotropic diffusion

Denoising

Interference (communication)

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