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Eighth IEEE Symposium on Computer-Based Medical Systems (CBMS'95)
A Weighted Space Restoration Algorithm Using the Aperiodic Model of Deconvolution
Lubbock, Texas
June 09-June 10
ISBN: 0-8186-7117-3
ASCII Text
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Zou Mou-Yan, R. Unbehauen, "A Weighted Space Restoration Algorithm Using the Aperiodic Model of Deconvolution," Computer-Based Medical Systems, IEEE Symposium on, pp. 0308, Eighth IEEE Symposium on Computer-Based Medical Systems (CBMS'95), 1995.
 
 
BibTex
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@article{ 10.1109/CBMS.1995.465411,
author = {Zou Mou-Yan and R. Unbehauen},
title = {A Weighted Space Restoration Algorithm Using the Aperiodic Model of Deconvolution},
journal ={Computer-Based Medical Systems, IEEE Symposium on},
volume = {0},
year = {1995},
isbn = {0-8186-7117-3},
pages = {0308},
doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.1995.465411},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer-Based Medical Systems, IEEE Symposium on
TI - A Weighted Space Restoration Algorithm Using the Aperiodic Model of Deconvolution
SN - 0-8186-7117-3
SP
EP
A1 - Zou Mou-Yan,
A1 - R. Unbehauen,
PY - 1995
KW - image restoration; deconvolution; matrix algebra; medical image processing; weighted space restoration algorithm; aperiodic matrix deconvolution model; condition number; block circulant matrices; computational cost reduction; unknown blur case
VL - 0
JA - Computer-Based Medical Systems, IEEE Symposium on
ER -
 
Zou Mou-Yan, Lehrstuhl fur Allgemeine und Theor. Elektrotech., Erlangen-Nurnberg Univ., Germany
R. Unbehauen, Lehrstuhl fur Allgemeine und Theor. Elektrotech., Erlangen-Nurnberg Univ., Germany
Abstract: The aperiodic matrix deconvolution model has been shown to have a better condition number than the popularly used circulant matrix model. In this paper, we illustrate that the restoration algorithms in a weighted space using the block circulant matrices can be modified into the aperiodic model based algorithms and we have more possibilities to reduce the computational cost for the modified algorithms. Examples are used to show the modified algorithm. We address that more interesting is the use of the model to develop some new algorithms, for example, for the unknown blur case.
Index Terms:
image restoration; deconvolution; matrix algebra; medical image processing; weighted space restoration algorithm; aperiodic matrix deconvolution model; condition number; block circulant matrices; computational cost reduction; unknown blur case
Citation:
Zou Mou-Yan, R. Unbehauen, "A Weighted Space Restoration Algorithm Using the Aperiodic Model of Deconvolution," cbms, pp.0308, Eighth IEEE Symposium on Computer-Based Medical Systems (CBMS'95), 1995
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