Paper Info
Title
Patch-Wise Ideal Stopping Time For Anisotropic Diffusion
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.
Year
DOI
Venue
2012
10.1117/12.908698
VISUAL INFORMATION PROCESSING AND COMMUNICATION III
Keywords
Field
DocType
Image denoising, Anisotropic diffusion, Nonlinear filter, Stopping time criterion
Anisotropic diffusion,Diffusion process,Minification,Artificial intelligence,Nonlinear filter,Stopping time,Computer vision,Mathematical optimization,Algorithm,Filter (signal processing),Iterative filtering,Image denoising,Physics
Conference
Volume
ISSN
Citations 
8305
0277-786X
0
PageRank 
References 
Authors
0.34
4
2
Name
Order
Citations
PageRank
hossein talebi1483.75
Peyman Milanfar23284155.61