机译:混合高斯加随机值脉冲噪声污染图像的恢复算法
Institute of Statistical Signal Processing, Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei 230027, PR China;
Institute of Statistical Signal Processing, Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei 230027, PR China;
Institute of Statistical Signal Processing, Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei 230027, PR China;
Image restoration; Mixed noise; Sparse representation; Masked K-SVD; Overcomplete dictionary; Noise classification; Bayesian decision rule; Variational denoising model;
机译:使用递归最小极大值法恢复混合高斯和脉冲噪声污染的图像
机译:使用递归最小-最大方法恢复混合高斯和脉冲噪声污染的图像
机译:通过l _1l_0最小化恢复混合高斯脉冲噪声破坏的图像
机译:一种两阶段模糊滤波方法,恢复混合脉冲和高斯噪声污染的图像
机译:具有非高斯噪声的图像和信号处理:EM类型算法和自适应离群值追踪
机译:最佳权重混合滤波器,用于去除高斯和脉冲噪声的混合
机译:使用复杂方法恢复被混合高斯和脉冲噪声污染的图像
机译:全变差混合高斯脉冲噪声图像恢复。