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The design of well-conditioned discrete imaging systems

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3 Author(s)
Zhou, Y. ; University of Utah, Salt Lake City, Utah ; Frost, R. ; Rushforth, C.K.

We consider the design of imaging systems for which image restoration is a well-conditioned problem. By assuming that both the observation and the object are discrete, we are able to derive, via the Singular Value Decomposition, conditions which minimize the condition number for either coherent or incoherent illumination systems. We also illustrate the quality of signals restored by these well-conditioned systems.

Published in:

Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '84.  (Volume:9 )

Date of Conference:

Mar 1984