The generalized Gabor scheme of image representation in biologicaland machine vision
Porat, M.
Zeevi, Y.Y.
Dept. of Electr. & Eng., Technion, Haifa;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Jul 1988
Volume: 10,
Issue: 4
On page(s): 452-468
ISSN: 0162-8828
References Cited: 49
CODEN: ITPIDJ
INSPEC Accession Number: 3233331
Digital Object Identifier: 10.1109/34.3910
Current Version Published: 2002-08-06
Abstract
A scheme suitable for visual information representation in a
combined frequency-position space is investigated through image
decomposition into a finite set of two-dimensional Gabor elementary
functions (GEF). The scheme is generalized to account for the
position-dependent Gabor-sampling rate, oversampling, logarithmic
frequency scaling and phase-quantization characteristic of the visual
system. Comparison of reconstructed signal highlights the advantages of
the generalized Gabor scheme in coding typical bandlimited images. It is
shown that there exists a tradeoff between the number of frequency
components used per position and the number of such clusters (sampling
rate) utilized along the spatial coordinate
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
Cart
