Cycle Spinning Dual-Domain Sar Image Denoising
2015 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMMUNICATIONS AND COMPUTING (ICSPCC)(2015)
Abstract
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.
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Key words
SAR image, dual-domain, cycle spinning, Gibbs-like phenomenon
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