Abstract
A method was proposed to improve the quality of noise- and/or uneven background-degraded images obtained by surface plasmon resonance imaging experiments. The noise was suppressed by adaptive median filter in combination with wavelet transform, while the uneven background was flattened by subtraction with a three-dimensionally fitted surface. These operations improved the signal-to-noise ratio from 23.83dB to 41.36dB for real images and widened the quantitative linear range of picture gray value vs. concentration for about one order of magnitude, with linear correlation coefficient increased from 0.9558 to 0.9982. The method can be performed repeatedly until a better result is obtained and is thus cost-effective, highly competitive to experimental strategies and other computational methods.
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