Speckle Noise Reduction in Ultrasound Imaging using the Key Points in Low Degree Unbiased FIR Filters

Luis Javier Morales-Mendoza, René Fabián Vázquez-Bautista, Efrén Morales-Mendoza, Yuriy Semenovich Shmaliy


In this paper we present a method of reducing speckle noise in applications for ultrasound image processing using low degree unbiased FIR filters. An important feature of the p-lag gain of unbiased FIR filters is that at some cross points it converges to the reduced degree gain. The results are evaluated in terms of the signal-to-noise ratio (SNR) and the root mean square error (RMSE) metrics. We show that ultrasound image enhancing with different degree FIR filters at special lags allows getting best results depending on applications.


FIR filters; ultrasound image; cross points.

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