SAR Image Denoising Based on WB-Filter

Abstract

Synthetic aperture radar (SAR) imaging is an important tool in providing images of the earth's surface for military and civil applications. SAR image is highly affected by speckle noise which is a multiplicative type of noise formed by interference echo of resolving units. In this article, a new method is proposed for denoising the SAR image with preserving its quality to a good extent. The proposed technique is called WB-Filtering which is combining the effect of both Wiener and bilateral filter in a new filtering approach which is WB filter. The filter designed in the current study can remove both Speckle noise and Gaussian noise. The experiment results revealed the superior performance of current methods on both Wiener and bilateral filter regarding PSNR, MSE, SSIM and EPI parameters. The PSNR of a despeckling test-1 image after has been corrupted by speckle noise with variance of 0.03, using WB-filter was about 80% compared to that using Wiener and bilateral filter which is around (25% and 30% respectively).