A hybrid of tropical-singular value decomposition method for salt and pepper noise removal

Abstract

The unknown information contained in an image that causes the change of information in the image is callednoise. In this paper, we propose a new method for removing salt and pepper noise by using singular value decompositionand the concept of tropical algebra operations. To determine the performance of the proposed method, 20 test imagesare used as samples. Then three different image quality assessments are used: peak signal-to-noise ratio (PSNR),structural similarity (SSIM), and image enhancement factor (IEF). In addition, six different filtering methods, i.e. MF,DWMF, PSMF, MDBUTM, NAFSM, and BPDF, are used to compare the performance of the proposed method. Theexperimental results show that the proposed method yields better results than the existing methods, in particular theBPDF filtering method.