Title :
Heuristic Tomographic Reconstruction of Coded Aperture Images
Author_Institution :
Central South Univ. of Forestry & Technol., Changsha
Abstract :
In this paper, we propose a new heuristic algorithm for three-dimensional image reconstruction from coded aperture images based on simulated annealing (SA). Since the coded aperture can view the object with a large solid angle, it can provide some tomographic resolution for three-dimensional object. We propose to use a heuristic algorithm to remove the defocused artifacts and to improve the tomographic resolution. We also propose a fast algorithm to reduce the large computation cost of the heuristic algorithm.
Keywords :
computerised tomography; image coding; image reconstruction; image resolution; simulated annealing; coded aperture images; heuristic algorithm; heuristic tomographic reconstruction; simulated annealing; three-dimensional image reconstruction; tomographic resolution; Apertures; Computational modeling; Computer aided instruction; Decoding; Heuristic algorithms; High-resolution imaging; Image reconstruction; Simulated annealing; Solids; Tomography; Uniformly redundant array (URA); coded aperture imaging; fast algorithm; simulated annealing (SA); tomographic imaging;
Conference_Titel :
Instrumentation and Measurement Technology Conference Proceedings, 2007. IMTC 2007. IEEE
Conference_Location :
Warsaw
Print_ISBN :
1-4244-0588-2
DOI :
10.1109/IMTC.2007.379187