Novel Approach for Removal of Gaussian and Salt-n-Pepper Noise Simultaneously

Abstract: Noisy image consist of unwanted data which may reduce the shape and size of objects in the image and blurring of edges or dilution of fine details in the image so eliminating such noise is an important pre-processing task. This process of removing noise is called Denoising. This paper presents a novel approach for simultaneously removing the Gaussian and Salt-n-pepper noise from a single image by using the proposed technique. In this paper, a new proposed technique using fast multidirectional filter bank and median filter is used which improves the radial frequency resolution of the image by addition decomposition in the high frequency band. Denoising performance of proposed technique will be compared with median and wiener filter. We analyze the performance of the proposed denoising technique using PSNR (Peak Signal to Noise Ratio) and Coc (Correlation coefficient).

Keywords: Denoising, FMDFB, Median Filter Threshold, Discrete Wavelet Transform.