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Proceedings Paper

New least-squares minimum error variance deconvolution method
Author(s): Mostafa Abdelhakam Ibrahim; Abdel-Wahab F. Hussein; Samia A. Mashali; Ahmed H. Mohamed
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Paper Abstract

We propose to minimize a cost function, which depends on the values of the input signal to a linear time-invariant system, to reach an optimal estimation of this input signal. This cost function is the square of the error signal between the output and the convolution of the estimated input with the blurring system. The minimization of the cost function is done using an optimization technique which requires the use of an initial estimation of the input signal. Van- Cittert deconvolution method gives this required initial estimation. Singular value decomposition technique is used in estimating the improved input signal.

Paper Details

Date Published: 1 October 1998
PDF: 7 pages
Proc. SPIE 3460, Applications of Digital Image Processing XXI, (1 October 1998); doi: 10.1117/12.323208
Show Author Affiliations
Mostafa Abdelhakam Ibrahim, Electronics Research Institute (Egypt)
Abdel-Wahab F. Hussein, Cairo Univ. (Egypt)
Samia A. Mashali, Electronics Research Institute (Egypt)
Ahmed H. Mohamed, Cairo Univ. (Egypt)

Published in SPIE Proceedings Vol. 3460:
Applications of Digital Image Processing XXI
Andrew G. Tescher, Editor(s)

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