Four time-domain filtering methods are applied to simulated and experimental two-dimensional fluorescence data in order to evaluate their performance. The methods that were evaluated are (1) moving average, (2) Savitsky-Golay polynomial smoothing, (3) Chebyshev filtering, and (4) bicubic spline filtering. The methods are compared with the use of mean square error analysis and the difference in the amplitudes of the filtered noisy and ideal data. The two-dimensional version of the Savitzky-Golay filtering and the spline method produced the best overall results.
FogartyM. P.HoC.-N., and WarnerI. M., Optical Radiation Measurements (Academic Press, New York, 1982), Vol. 3, Chap. 7, pp. 249–314.
2.
GonzalezR. C. and WintzP., Digital Image Processing (Addison-Wesley Publishing Co. Inc., Reading, Massachusetts, 1977), Chap. 3, p. 36, Chap. 4, p. 146.
3.
CapelliniV.ConstantinidesA. G., and EmilianiP., Digital Filters and Their Applications (Academic Press, New York, 1978), Chap. 2, p. 53, Chap. 6, p. 208, Chap. 8, p. 257.
4.
RossiT. M. and WarnerI. M., Appl. Spectrosc.38, 422 (1984).
5.
SavitzkyA. and GolayM. J. E., Anal. Chem.36, 1627 (1964).
6.
EdwardsT. R., Anal. Chem.54, 1519 (1982).
7.
MillerT. R.SampathkumaranK. S., and KingM. A., J. Nucl. Med.24, 625 (1983).
8.
McClellanJ. H.ParksT. W., and RabinerL. R., IEEE Trans Audio Electroacoust.21, 506 (1973).
9.
DierckxP., SIAM J. Numer. Anal.19, 1293 (1982).
10.
WarnerI. M.ChristianG. D.DavidsonE. R., and CallisJ. B., Anal. Chem.49, 564 (1977).
