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机译:基于纹理强度和加权核范数最小化的SAR图像降噪
Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China;
School of Physics and Electronics, Shandong Normal University, Jinan 250014, China;
College of Electronic and Information Engineering, Hebei University, Baoding 071000, China;
Key Laboratory of Digital Medical Engineering of Hebei Province, Baoding 071000, China;
Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China;
Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Hong Kong 999077, China;
Noise level; Noise reduction; Synthetic aperture radar; Covariance matrices; Image denoising; Estimation; Minimization;
机译:基于加权核范数最小化方法的太赫兹全息重建图像降噪研究
机译:基于加权核范数最小化方法的太赫兹全息重建图像降噪研究
机译:基于加权核规范最小化的3D量级磁共振图像降噪
机译:基于加权核规范最小化和连通域的太赫兹全息重构图像降噪研究
机译:海冰SAR图像的纹理估计和纹理分类
机译:基于全局梯度最小化和纹理特征的数字断层合成图像中的乳房组织分类
机译:实物彩色图像的多通道加权核范数最小化 去噪