Denoising Of Mixed Noise in Ultrasound Images
Medical images are affected by the mixed noise, which is the
combination of speckle and Gaussian noise. This paper proposes
an efficient algorithm for reducing the mixed noise in ultrasound
images. The proposed method reduces the noise and also
preserves edges effectively and hence the quality of the image is
enhanced. Based on wavelet thresholding, ST-PCNN and
Bayesian maximum a posteriori (MAP) are fused together to
denoise the ultrasound images. Experimental results show a
significant improvement in removing the mixed noise present in
the ultrasound images and this method outperforms the other
methods in terms of PSNR and MSE.
Keywords: ST-PCNN, Bayesian Map estimator, PSNR, MSE, Spatially adaptive thresholding, soft-thresholding
Download Full-Text
