Title :
Image sampling by hierarchical annealing
Author_Institution :
Dept. of Appl. Math., Waterloo Univ., Ont., Canada
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;
Conference_Titel :
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
Print_ISBN :
0-7803-7750-8
DOI :
10.1109/ICIP.2003.1246945
