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