ABSTRACT

Speckle reduction is a fundamental problem in coherent imaging systems. In this paper, to suppress the speckle in SAR images, we propose a novel truncated nonconvex nonsmooth model. It incorporates a truncated nonconvex regularization term and an I-divergence fidelity term. The truncated ${\ell }_p\mathrm{n}\mathrm{o}\mathrm{r}\mathrm{m}$ ($0<p<1$) regularization can better recover neat edges and simultaneously prevent contrast reduction artefact. The I-divergence fidelity term is used to suppress the multiplicative noise effectively. We also propose an efficient algorithm based on variable-splitting and alternating direction method of multipliers (ADMM) method to solve the model. Compared to state-of-the-art speckle suppression methods, intensive experimental results on a variety of SAR images show the superiority of the proposed method qualitatively and quantitatively.

摘要

减少斑点是相干成像系统中的基本问题。在本文中，为抑制SAR图像中的斑点，我们提出了一种新颖的截断非凸非光滑模型。它合并了截断的非凸正则化项和I散度保真度项。截断${\ell }_p\mathrm{ñ}\mathrm{Ø}\mathrm{[R}\mathrm{米}$ （$0<p<\mathrm{1个}$正则化可以更好地恢复整齐的边缘，同时防止对比度降低的伪影。I散度保真度项用于有效抑制乘法噪声。我们还提出了一种基于变量分解和乘数交替方向方法（ADMM）的有效算法来求解模型。与最新的斑点抑制方法相比，在各种SAR图像上进行的大量实验结果从质量和数量上证明了该方法的优越性。