Removal of Salt and Pepper Noise Based on the Signal Analysis Algorithm
Duan Qun · Journal of Xianyang Normal University · 2012
Signal analysis can accurately distinguish between corrupted pixels and signal pixels.A new denoising algorithm is proposed based on the signal analysis.This method which aimed at denoising the image with salt and pepper noise effectively combines the signal analysis,media filter,enlarged median filter and mean filter.Median filters can preserve the details,while mean filters can smooth the noise well.Experimental results show that this algorithm can eliminate salt and pepper noise and gives significantly better image quality than other algorithms such as linear weighted filter,gradient inverse weighted filter and the wavelet denoising.With the analysis of the experimental data,this method reaches a good result not only the details and edge information of the original image but also the PSNR.