An Optimized Lee Filter Denoising Method Based on EIP Correction

The speckle noise inherent in synthetic aperture radar (SAR) images seriously affects the visual effect of the image and brings difficulties to the subsequent parameter inversion and interpretation. However, the existing SAR image filtering methods are not effective in preserving the image edge details. In this paper, an exponential image processing (EIP) correction based lee filter denoising method is proposed to solve this problem. This method carried out a reasonable fuzzy division on the image gray histogram, and extracted its statistical characteristics from it. Such feature is used to correct the image based on the mathematical structure of EIP, and divide the filter area of the image to avoid the loss of edge information and dark details of the image. Simulation results have shown that the proposed method outperform the traditional methods in suppressing noise and protecting edge details.