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A general framework for solving image inverse problems is introduced in this paper. The approach is based on Gaussian mixture models, estimated via a computationally efficient MAP-EM algorithm.
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问题是高切滤波或低通滤波,如果采用硬件实现,速度最快,但是现在计算机速度这么快,硬件实现起来相对麻烦,成本高,且灵活性性差,
软件实现相对方便多了,具体体的操作步骤如下(频率域)
先对数据作正FFT,再对变换后的频域数据乘以滤波因子,滤波因子的选择有理想高通、巴特沃斯高通、指数高通、梯形高通,一般选择梯形高通滤波因子,具体原因你可从数字信号处理的书上找到,,接下来将数据再作逆FFT就是了,还有就是在空间域作滤波,这里有一个带同滤波的程序的程序,你可参考一下,(将低切参数设为零就是
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This software is written in Fortran 90 and is related to forward and inverse problems for the Helmholtz equation in 2-D.-This software is written in Fortran 90 and is related to forward and inverse problems for the Helmholtz equation in 2-D.
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