25 September 2001 Maximum entropy image reconstruction from a few views
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Proceedings Volume 4553, Visualization and Optimization Techniques; (2001); doi: 10.1117/12.441604
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
Abstract
A new algorithm for the reconstruction of tomographic images from a few views is presented. A variable metric method is used to solve the unconstrained optimization problem that resulted from the analysis by the use of the maximum entropy formalism. The numerical simulations study the reconstruction effect on the different asymmetric functions and the stability against noise. The results show that the reconstruction accuracy is adequate.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shaohua Chen, Qing Wang, "Maximum entropy image reconstruction from a few views", Proc. SPIE 4553, Visualization and Optimization Techniques, (25 September 2001); doi: 10.1117/12.441604; https://doi.org/10.1117/12.441604
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