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Proceedings Paper

Patch-wise ideal stopping time for anisotropic diffusion
Author(s): Hossein Talebi; Peyman Milanfar
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Paper 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.

Paper Details

Date Published: 15 February 2012
PDF: 8 pages
Proc. SPIE 8305, Visual Information Processing and Communication III, 83050G (15 February 2012); doi: 10.1117/12.908698
Show Author Affiliations
Hossein Talebi, Univ. of California, Santa Cruz (United States)
Peyman Milanfar, Univ. of California, Santa Cruz (United States)


Published in SPIE Proceedings Vol. 8305:
Visual Information Processing and Communication III
Amir Said; Onur G. Guleryuz; Robert L. Stevenson, Editor(s)

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