Domain decomposition methods in image denoising using Gaussian curvature
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摘要
A domain decomposition method is used to solve a Gaussian curvature driven flow to denoise digital images. The algorithm is embarrassingly parallel and is ideal for parallel computers. We use the scheme of Lee–Keun [Noise removal based on nonlinear diffusion with Gauss curvature conductance, 2003, Preprint] in which the diffusion coefficient contains a term involving the Gaussian curvature. This minimizes the occurrence of patches and tips of cones are not flattened.
论文关键词:35Q80,35R05,65M,Domain decomposition,Image restoration,Nonlinear PDEs,Gaussian curvature
论文评审过程:Received 12 February 2005, Available online 22 August 2005.
论文官网地址:https://doi.org/10.1016/j.cam.2005.05.032