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Time-Domain Filtering of Two-Dimensional Fluorescence Data

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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.

Keywords: Digital image processing; Image analysis; Time-domain data filtering; Two-dimensional data analysis; Two-dimensional fluorescence

Document Type: Research Article


Affiliations: 1: Department of Chemistry, Emory University, Atlanta, Georgia 30322; on leave from the Computer and Automation Institute, Hungarian Academy of Sciences, Budapest, Kende u. 13-17, H-1502, Hungary 2: Department of Chemistry, Emory University, Atlanta, Georgia 30322

Publication date: May 1, 1986

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