Image Processing Reference
In-Depth Information
resulting data in theory. If a close representation for the weighted Ψ term can
be found, then the resulting form of the expression above would be
Again, if the factor for “κ” can be found that is close to R ′ and 〈Ψ inc 〉 is a close
approximation to 〈Ψ〉, then improvement in the resulting reconstructed image
can be expected. This too will be demonstrated in the following chapters.
Bogert, B. P., Healy, M. J., and Tukey, J. W. 1963. The frequency analysis of
time series echoes: Cepstrum, psuedo-autocovarience, cross-cepstrum and
saphe cracking. In M. Rosenblat (Ed.), Proceedings of the Symposium on
Time Series Analysis (pp. 209-243). New York: Wiley.
Burge, R. E., Fiddy, M. A., Greenaway, A. H., and Ross, G. 1976. The phase
problem. In Proceedings of the Royal Society , A350 , 191-212. London.
Childers, D. G. Skinner, D. P., and Kemarait, R. C. 1977. The ceptstrum: A guide
to processing. IEEE Procedures, 65 (10), 1428-1443.
Dudgeon, D. E. and Mersereau, R. M. 1984. Multidimensional Digital Signal
Processing. New Jersey: Prentice-Hall.
Fiddy, M. A. 1987. The role of analyticity in image recovery. In H. Stark
(Ed.), Image Recovery: Theory and Applications (pp. 499-529). Florida:
Academic Press.
Fiddy, M. A. and Shahid, U. 2003. Minimum phase and zero distributions in
2D. Proceedings of SPIE, 5202 , 201-208.
Gonzalez, R. C. and Woods, R. E. 1992. Digital Image Processing. New York:
Jackson, L. B. 1991. Digital Filters and Signal Processing (2nd ed.). Norwell,
MA: Kluwer Academic Publishers.
McGahan, R. V. and Kleinman, R. E. 1997. Second annual special session on
image reconstruction using real data. IEEE Antenna Propagation Magazine ,
39 (2), 7-32.
Oppenheim, A. V., Schafer, R. W., and Buck, J. R. 1999. Discrete-time signal
processing. New Jersey: Prentice-Hall.
Raghuramireddy, D. and Unbehauen, R. 1985. The two-dimensional differential
cepstrum. IEEE Transactions on Acoustics, Speech and Signal Processing,
33 (5), 1335-1337.
Shahid, U. 2009. Signal Processing Based Method for Solving Inverse Scattering
Problems. PhD Dissertation, Optics. University of North Carolina at
Charlotte, Charlotte: UMI/ProQuest LLC.
Shahid, U., Testorf, M., and Fiddy, M. A. 2005. Minimum-phase-based inverse
scattering algorithm. Inverse Problems, 21 , 1-13.
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