A Method for Filtering Speckle Noise in Synthesis Aperture Radar Images Based on Wavelet Transform and Non-local Means
Abstract
A Method for Filtering Speckle Noise in Synthesis Aperture Radar Images Based on Wavelet Transform and Non-local Means
Incoming article date: 15.12.2025This article describes a method for filtering speckle noise from synthetic aperture radar images using wavelet transforms and nonlocal means. The proposed method utilizes a spatial-frequency representation of the image and analyzes the similarity of local wavelet coefficient structures in subbands. Experimental results demonstrate that the developed method outperforms some known methods in terms of metrics such as mean square error, peak signal-to-noise ratio, and structural similarity index, as well as subjective visual assessment. The method effectively filters speckle while preserving fine details, contrasting edges, and correctly restoring background brightness without introducing noticeable artifacts.
Keywords: radar image, synthetic aperture radar, speckle noise, image filtering, wavelet transform, thresholding, non-local means