NeighShrink Despeckling for SAR Images Based on Scale Space Correlation
基于尺度空间相关的SAR图像NeighShrink滤波算法

To effectively suppress speckle noise and preserve structure information of SAR images, a NeighShrink despeckling based on scale space correlation is proposed in this paper. Firstly, for detail subbands of logarithmically transformed SAR images decomposed by stationary wavelet transform, the single selective scale space correlation with tunable parameter is introduced to separate the wavelet coefficients related to noise and the ones related to structure information. Subsequently, as regards the former, the NeighShrink is directly taken advantage of to obtain good smoothing effect. For the latter, the weighted NeighShrink is proposed to achieve the preservation of structure information. The experimental results verify the validity of the proposed method.