Video speckle noise reduction using robust diffusion tensor in shearlet domain
Olfa Ben Moussa, Nawrès Khlifa · 2018
We proposed a novel method of video speckle noise reduction by exploiting the sparse geometric image representation property of the Shearlet transform and the 3D Tensor-based Anisotropic Diffusion technique. The performance of the proposed method is evaluated and compared with VIDOLSAT filter on synthetic and real data. By using full reference image quality assessment and no reference image quality assessment the experimental results demonstrate that the proposed algorithm promising despeckling results and can realize better preserved edges.