Cycle spinning dual-domain SAR image denoising
Fei Zhang, Baosheng Kang, Hong-an Li, Lei Zhang, Benting Liu · 2015
SAR image denoising has been an active research topic. Some image denoising methods have been implemented in both spatial and transform domains. Although state-of-the-art denoising methods are numerically impressive, they produce Gibbs-like phenomenon. To solve this problem, we proposed a SAR image denoising algorithm, which is based on dual-domain image denoising (DDID) and cycle-spinning algorithm. The proposed approach tries to change the relative position of singularity point in an image, to find the average spinning within a specific range and to smooth the artifacts due to the Gibbs-like phenomenon. Compared with DDID and wavelet method, the denoised SAR images of the proposed algorithm are smoother and have much fewer man-made textures.