A nonlinear partial differential equation model based on nonlocal information was proposed to remove noise and preserve the edges. 摘要針對傳統擴散模型中的邊界模糊問(wèn)題，提出一種基于非局部信息的非線(xiàn)性偏微分方程去噪模型。
A multi-kernel nonlinear diffusion model for image denoising based on image decomposition was studied, which got the major signal and the minutiae through different models. 摘要研究了一種基于圖像分解的多核非線(xiàn)性擴散去噪方法，利用兩個(gè)非線(xiàn)性擴散模型分別提取圖像的主信號和細節信息。
