Medical Image Denosing Using M-Band Ridgelet Transform with NeighCoeff Thresholding
Ramanjyot Kaur, Palvinder Singh Maan · 2013
In this paper, a novel image denoising algorithm using M-band ridgelet transform for medical image denoising. Also a novel threshold algorithm called NeighCoeff thresholding is used for denoising. The performance of the proposed method is tested on ultrasound and magnetic resonance imaging (MRI) image under salt and pepper noise conditions. The performance of the proposed method is compared with the existing wavelet, ridgelet and curvelet transform in terms of peak-signal to noise ratio (PSNR) and mean square error (MSE). The results after investigation proposed method shows a significant improvement in terms of PSNR and MSE as compared to other existing denoising algorithms on ultrasound and MRI images.