DocumentCode :
2030733
Title :
A Convex Programming Approach to Anisotropic Smoothing
Author :
Dahl, Joachim ; Jensen, Søren Holdt ; Hansen, Per Christian
Author_Institution :
Aalborg Univ., Aalborg
Volume :
2
fYear :
2007
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
We develop a computationally efficient algorithm for the problem of anisotropic smoothing in images, i.e., smoothing an image along its directional fields. Whereas similar problems are often posed and solved as PDE problems in the literature, we formulate the problem as a convex programming problem. We present efficient implementations of interior-point algorithms for solving large instances of this problem.
Keywords :
convex programming; image processing; quadratic programming; smoothing methods; convex quadratically constrained quadratic programming problem; discrete anisotropic image smoothing; interior-point algorithm; Anisotropic magnetoresistance; Image processing; Informatics; Large-scale systems; Mathematical model; Mathematical programming; Optimization methods; Quadratic programming; Smoothing methods; Tensile stress; Optimization methods; image processing; quadratic programming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
ISSN :
1522-4880
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2007.4379102
Filename :
4379102
Link To Document :
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