|International Journal of Computer Applications
|Foundation of Computer Science (FCS), NY, USA
|Volume 119 - Number 1
|Year of Publication: 2015
|Authors: Rohit Jaspal, Amandeep Ummat
Rohit Jaspal, Amandeep Ummat . Review on: Image De-noising using Bilateral Filter with Multilinear Discriminant Analysis and SVM. International Journal of Computer Applications. 119, 1 ( June 2015), 15-17. DOI=10.5120/21030-2887
Noise removal from magnetic resonance images is important for further processing and visional analysis. Bilateral filter is known for its effective performance in edge-preserved image denoising. Here, an iterative bilateral filter is proposed for filtering the Rician noise in the magnitude magnetic resonance images. It improves the denoising efficiency. It also preserves the fine structures of the image. It also reduces the bias due to Rician noise. Thus we can preserve the quality of image. The quantitative analysis based on the standard metrics like peak signal-to-noise ratio and mean structural similarity index matrix. It shows the proposed method which performs better than the other recently proposed denoising methods for MRI.