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Limited-angle reconstruction from noisy data using clustering of the solution space

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2 Author(s)
Feder, M. ; Dept. of Electr. Eng., MIT, Cambridge, MA, USA ; Jaffe, J.S.

The authors propose a stabilized method for limited angle reconstruction. The algorithm provides a framework that makes it possible to incorporate prior information and to account for the noise; this framework is the reason for the method's stability. The method entails the following steps: a space of reconstruction solutions is generated, either analytically or by Monte Carlo simulation; representatives of the solutions are found by clustering the solution space; and these representatives are scored, using the a priori information, to define the final solution. Simulation results are presented for a simple 1-D deconvolution problem

Published in:

Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on

Date of Conference:

23-26 May 1989