Medical Image Denoising Using Bilateral Filter and the K-SVD Algorithm

Abstract

Medical images are inevitably affected by noise in the acquisition process. This paper describes an image denoising method based on bilateral filter and the K-SVD algorithm. Firstly, the method uses bilateral filter to divide the image into edge layer and residual layer. Then the K-SVD algorithm is used to process the residual layer of the image to avoid damaging the edges of the image. Finally, the image denoising result is obtained by adding residual layer and edge layer. The experimental results for image with different intensity noise show that the proposed method can acquire higher peak signal-to-noise ratio (PSNR) than the K-SVD algorithm. In the denoising experiments of computed tomography (CT) and magnetic resonance (MR) images, the proposed method can obtain clearer soft tissue and bone structure than the K-SVD algorithm.