DocumentCode
398530
Title
Image sampling by hierarchical annealing
Author
Alexander, S.K.
Author_Institution
Dept. of Appl. Math., Waterloo Univ., Ont., Canada
Volume
1
fYear
2003
fDate
14-17 Sept. 2003
Abstract
Simulated annealing has been applied to a wide variety of problems in image processing. Particularly in scientific applications, the computational complexity of simulated annealing may constrain its effectiveness. High resolution samples or 3D data may result in huge configuration spaces. In this paper a method of hierarchical simulated annealing is introduced to perform sampling of binary porous media images. This approach can lead to large gains in computational cost for suitable models.
Keywords
image sampling; multidimensional signal processing; scientific information systems; simulated annealing; 3D data; binary porous media images; hierarchical simulated annealing; image sampling; scientific application; Acceleration; Computational efficiency; Computational modeling; Convergence; Cooling; High-resolution imaging; Image processing; Image sampling; Mathematics; Simulated annealing;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
ISSN
1522-4880
Print_ISBN
0-7803-7750-8
Type
conf
DOI
10.1109/ICIP.2003.1246945
Filename
1246945
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