image registration
the spatial alignment
of a pair of images, which may involve cor-
recting for differences in translation, rotation,
scale, deformation or perspective. Especially
important in binocular vision.
image rejection filter
a filter usually
placed before a mixer to preselect the fre-
quency, which when “mixed” with the local
oscillator frequency, will down-convert to the
desired intermediate frequency. In the ab-
sence of an image rejection filter, there are
two RF frequencies, which when mixed with
the local oscillator frequency
f
lo
, will down-
convert to the intermediate frequency
f
if
.
Specifically, these are given by
f
lo
+ f
if
and
f
lo
− f
if
. For example, if the local oscillator
frequency is 10 GHz and the local oscilla-
tor frequency is 1 GHz, then signals at both
11 GHz and 9 GHz will produce an interme-
diate frequency signal of 1 GHz without an
image rejection filter.
image resolution
a measure of the amount
of detail that can be present in an image. Spa-
tial resolution refers to the amount a scene’s
area that one pixel represents, with a smaller
area being a higher resolution. Brightness
resolution refers to the amount of luminance
or intensity that each gray level represents,
with a smaller amount being a higher resolu-
tion.
image restoration
(1) recovery of the am-
plitude and/or the phase of an image wave-
front, degraded on scattering, by either digi-
tal or optical procedures, e.g., deconvolution,
inverse scattering, or speckle interferometry
techniques.
(2) the removal of degradations in an im-
age in order to recover the original image.
Some typical image degradations and possi-
ble causes are: blurring (intervening atmo-
sphere or media, optical abberrations, mo-
tion), random noise (photodetectors, elec-
tronics, film grain), periodic noise (elec-
tronics, vibrations) and geometric distor-
tions (optical abberrations, angle of image
capture).
See also
degradation
,
motion
compensation
,
noise
,
noise suppression
.
image reversal
a chemical process by
which a positive photoresist is made to be-
have like a negative photoresist.
image segmentation
the division of an
image into distinct regions, which are later
classified and recognized. The regions are
usually separated by edges; pixels within a
region often have similar gray levels. See
also
edge detection
,
image classification
,
image recognition
.
image smoothing
the reduction of abrupt
changes in the gray levels of an image. Usu-
ally performed by replacing a pixel by the
average of pixels in some region around
it. Also called image averaging. See also
smoothing
.
image theory
a solution technique for de-
termining the fields radiated by sources in
the presence of material boundaries; typi-
cally the boundary is between a dielectric
and a perfect electric conductor. The equiva-
lence theorem is used to generate an equiva-
lent problem in a homogeneous medium with
image sources that provide the same bound-
ary conditions as the original problem.
image transform
the conversion of
the image from the spatial domain to an-
other domain, such as the Fourier do-
main.
It is often easier and more effec-
tive to carry out image processing such
as image enhancement or image compres-
sion in the transformed domain. See also
block transform
,
cosine transform
,
discrete
Fourier transform (DFT)
,
discrete Hadamard
transform
,
discrete Hadamard transform
,
discrete cosine transform (DCT)
,
discrete
sine transform (DST)
,
discrete wavelet
transform (DWT)
,
distance transform
,
Fourier
transform
,
Haartransform
,
Hadamardtransform
,
Hankel transform
,
Hilbert transform
,
Hotelling
transform
,
Hough transform
,
Karhunen–Loeve
transform (KLT)
,
medial axis transform
c
2000 by CRC Press LLC