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@article{906989,
author = {Ulman, Vladimír},
article_location = {NEW YORK (USA)},
article_number = {ID 234090},
doi = {http://dx.doi.org/10.1155/2011/234090},
keywords = {recursive spatial filtering; Gaussian filtering; Gabor filtering; IIR; digital filters},
language = {eng},
issn = {1687-6172},
journal = {EURASIP Journal on Advances in Signal Processing},
title = {Boundary Treatment for Young-van Vliet Recursive Zero-Mean Gabor Filtering},
url = {http://cbia.fi.muni.cz/projects/sample-iir-filter-implementations.html},
volume = {2011},
year = {2011}
}
TY - JOUR
ID - 906989
AU - Ulman, Vladimír
PY - 2011
TI - Boundary Treatment for Young-van Vliet Recursive Zero-Mean Gabor Filtering
JF - EURASIP Journal on Advances in Signal Processing
VL - 2011
IS - ID 234090
SP - 1-9
EP - 1-9
PB - HINDAWI PUBLISHING CORPORATION
SN - 16876172
KW - recursive spatial filtering
KW - Gaussian filtering
KW - Gabor filtering
KW - IIR
KW - digital filters
UR - http://cbia.fi.muni.cz/projects/sample-iir-filter-implementations.html
L2 - http://cbia.fi.muni.cz/projects/sample-iir-filter-implementations.html
N2 - This paper deals with convolution setting at boundary regions for 1D convolution computed during recursive Gaussian and Gabor filtering as well as staged Gabor filtering computed more efficiently as modulation, recursive Gaussian, and demodulation. These are established fast approximations to their filters. Until recently, all the three applications of recursive filters suffered from distortions near boundary as a result of inappropriate boundary treatment. The extension of input data with constant border value is presumed. We review a recently suggested setting for recursive Gaussian and Gabor filtering. Then, a new convolution setting for the more efficient staged Gabor filtering is presented. We also offer a formula to compute the scale coefficient, using which a zero-mean Gabor filter can be obtained from either recursive or staged Gabor filter.
ER -
ULMAN, Vladimír. Boundary Treatment for Young-van Vliet Recursive Zero-Mean Gabor Filtering. \textit{EURASIP Journal on Advances in Signal Processing}. NEW YORK (USA): HINDAWI PUBLISHING CORPORATION, 2011, roč.~2011, ID 234090, s.~1-9. ISSN~1687-6172. doi:10.1155/2011/234090.
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