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用逆滤波、维纳滤波、最小二乘方滤波方法进行图像修复的比较。-By inverse filtering, Wiener filtering, least square filtering method for image restoration comparison.
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此程序可实现基于LMS(最小均方误差算法)的自适应滤波程序-this procedure can be based on the LMS (least-mean-square error algorithm) adaptive filtering process
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第十四章 图像复原
14.1 退化模型
14.1.1 连续退化模型
14.1.2 离散退化模型
14.2 复原的代数方法
14.2.1 代数复原原理
14.2.2 逆滤波复原
14.2.3 最小二乘方滤波
14.3 MATLAB 实现图像复原
14.3.1 维纳滤波复原
14.3.2 规则化滤波复原
14.3.3 Lucy-Richardson 复原
14.3.4 盲去卷积复原
14.3.5 图像复原的其它 MATLA
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扩展卡尔曼滤波EKF 去偏转换卡尔曼滤波CMKF 最小二乘拟和的方法-Extended kalman filter and EKF to partial transformation of kalman filtering CMKF least-square fitting and method
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最小均方自适应滤波器,两个基本过程 滤波和自适应 不错的-Least mean square adaptive filter, two basic process of filtering and adaptive
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扩展卡尔曼滤波EKF 去偏转换卡尔曼滤波CMKF 最小二乘拟和的方法-Extended kalman filter and EKF to partial transformation of kalman filtering CMKF least-square fitting and method
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0下载:
扩展卡尔曼滤波EKF 去偏转换卡尔曼滤波CMKF 最小二乘拟和的方法-Extended kalman filter and EKF to partial transformation of kalman filtering CMKF least-square fitting and method
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0下载:
最小均方自适应滤波器,两个基本过程 滤波和自适应 不错的-Least mean square adaptive filter, two basic process of filtering and adaptive
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0下载:
扩展卡尔曼滤波EKF 去偏转换卡尔曼滤波CMKF 最小二乘拟和的方法-Extended kalman filter and EKF to partial transformation of kalman filtering CMKF least-square fitting and method
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0下载:
最小均方自适应滤波器,两个基本过程 滤波和自适应 不错的(Least mean square adaptive filter, two basic process of filtering and adaptive)
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① 采用逆滤波、维纳滤波和约束最小二乘方滤波复原图像。
② 实现四种均值滤波(Inverse filtering, Wiener filtering and constrained least square square filtering are used to restore the image.
Realizing four kinds of mean filtering)
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通过对图像中值滤波处理,二值化,边缘查询,找出图像中源所有的边缘像素点,然后利用最小二乘法对这些边缘点进行找圆,计算出圆的坐标和半径。(By means of median filtering, binarization and edge query, all edge pixels in the image source are found, and then the least square method is used to find the circles of these edge p
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matlab图像滤波去噪分析及其应用
双线性滤波、Kirsch滤波、超限邻域滤波、逆滤波、双边滤波、同态滤波、小波滤波、六抽头滤波、约束最小平方滤波、非线性复扩散滤波、Lee滤波、Gabor滤波,、Wiener滤波、Kuwahara滤波、Beltrami流滤波、Lucy?Richardson滤波、NoLocalMeans滤波等研究内容。(Analysis and application of MATLAB image filtering and denoising
Bilinear fi
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