Despeckle Filtering of Medical Ultrasonic Images Using Wavelet and Guided Filter
In this chapter, a new de-noising method based on an improved wavelet filter and guided filter is presented. The Bayesian maximum a posteriori estimation is applied to obtain a wavelet shrinkage algorithm. The coefficients of the low frequency sub-band in the wavelet domain are filtered by guided filter. The filtered image is then obtained by using the inverse wavelet transformation. Experiments with the comparison of the other seven de-speckling filters are conducted. The results show that the proposed method not only has a strong de-speckling ability, but also keeps the image details, such as the edge of a lesion.
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