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Recursive Algorithms for Implementing Digital Image Filters
March 1987 (vol. 9 no. 3)
pp. 461-466
ASCII Text
x 
 
L. A. Ferrari, P. V. Sankar, S. Shinnaka, J. Sklansky, "Recursive Algorithms for Implementing Digital Image Filters," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 9, no. 3, pp. 461-466, March, 1987.
 
 
BibTex
x
 
@article{ 10.1109/TPAMI.1987.4767929,
author = {L. A. Ferrari and P. V. Sankar and S. Shinnaka and J. Sklansky},
title = {Recursive Algorithms for Implementing Digital Image Filters},
journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume = {9},
number = {3},
issn = {0162-8828},
year = {1987},
pages = {461-466},
doi = {http://doi.ieeecomputersociety.org/10.1109/TPAMI.1987.4767929},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Pattern Analysis and Machine Intelligence
TI - Recursive Algorithms for Implementing Digital Image Filters
IS - 3
SN - 0162-8828
SP461
EP466
EPD - 461-466
A1 - L. A. Ferrari,
A1 - P. V. Sankar,
A1 - S. Shinnaka,
A1 - J. Sklansky,
PY - 1987
VL - 9
JA - IEEE Transactions on Pattern Analysis and Machine Intelligence
ER -
 
L. A. Ferrari, Department of Radiological Sciences and Electrical Engineering, University of California, Irvine, CA 92717.
P. V. Sankar, Department of Radiological Sciences and Electrical Engineering, University of California, Irvine, CA 92717.
S. Shinnaka, National Defense Academy, Kanagawa-Ken, Japan.
J. Sklansky, Department of Radiological Sciences and Electrical Engineering, University of California, Irvine, CA 92717.
The B-spline functions are used to develop recursive algorithms for the efficient implementation of two-dimensional linear digital image filters. These filters may be spatially varying. The B-splines are used in a representation of the desired point spread function. We show that this leads to recursive algorithms and hardware implementations which are more efficient than either direct spatial domain filter realizations or FFT implementations. The Z-transform is used to develop a discrete version of Duhamel's theorem. A computer architecture for B-spline image filters is proposed and a complexity analysis and comparison to other approaches is provided.
Citation:
L. A. Ferrari, P. V. Sankar, S. Shinnaka, J. Sklansky, "Recursive Algorithms for Implementing Digital Image Filters," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 9, no. 3, pp. 461-466, March 1987, doi:10.1109/TPAMI.1987.4767929
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