International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B3. Istanbul 2004
6. CONCLUSIONS
A new algorithm to estimate a high-resolution image from a set
of undersampled low-resolution images considering the
matching error noise has been proposed. The proposed
algorithm has been validated experimentally with Lena image
frames. It has shown that the result of the proposed algorithm
has little difference from that is enhanced using correct sub-
pixel shifts. So the algorithm can lower the effect of the
matching error effectively and has good robustness.
REFERENCE
Clark J..1, Palmer M. R., and Laurence P.D., 1985... A
transformation method for the reconstruction of functions from
nonuniformly spaced samples. [EEE Trans. Acoust., Speech,
Signal Processing, 33(5), pp. 1151-1165.
Elad M., Feuer A., 1999. Superresolution restoration of an
image sequence: adaptive filtering approach. /EEE Trans.
Image Processing, 8(3), pp. 387-395.
Fryer J., Kerry M., 2001. Enhancement of Image Resolution in
Digital Photogrammetry. Photogrammetric Engineering and
Remote Sensing, 67(6), pp. 741-749.
Irani M., Peleg S., 1991. Improving resolution by image
matching. CVGIP: Graphical Models and Image Proc, 53, pp.
231-239.
Lee E., Kang M.G., 2003. Regularized adaptive high-resolution
image reconstruction considering inaccurate subpixel matching.
IEEE Trans. Image Processing, 12(7), pp.826-837.
Park S.C., Park M.K., Kang M.G., 2003a. Super-resolution
image reconstruction: a technical overview. Signal Processing
Magazine, IEEE , 20 (3) , pp.21 — 36.
Schulz R.R., Stevenson R.L., 1996. Extraction of high-
resolution frames from video sequences. /EEE Trans. Image
Processing, 5(6), pp. 996-1011.
Stark H., Oskoui P., 1989a. High resolution image recovery
from image-plane arrays, using convex projections. J. Opt. Soc.
Am. A, 6, pp.1715-1726.
Tekalp A.M., Ozkan M.K., Sezan M.I., 1992. High-resolution
image reconstruction from lower-resolution image sequences
and space varying image restoration. In: Proc. IEEE Int. Conf.
Acoustics, Speech and Signal Processing (ICASSP), San
Francisco, CA., Vol. 3, pp. 169-172.
Tom B.C., Katsaggelos A.K., 1995. Reconstruction of a high-
resolution image by simultaneous matching, restoration, and
interpolation of low-resolution images. In Proc. IEEE Int.
Conf. Image Processing, vol. 2, pp. 539-542.
Tsai R.Y., T.S., 1984. Multiple frame image restoration and
matching. Advances in Computer Vision and Image
Processing. Greenwich, pp. 317-33.
692
Tec
KEY Y
ABSTI
It is th
displac
buildin,
describ
Howev
generat
perspec
ground
these p
matchi
correct
knowle
and lim
KURZ]
In der
versetzi
Brückei
bedingt
versetzt
Die En
völlig ı
projekti
aufgenc
Richtun
render |
Jeder lk
entsteht
lierte Be
The trac
models
occur tl
images,
these p
above t
describe
are dist
e.g. lear
mation
hidden :
impositi
many a
photos".
tailed tI
format,