矩匹配算法影像去噪

2020-5-2-9:19

常规的矩匹配算法

能起到去除条带噪声的效果，但去噪后影像灰度信息损失过大。
IDL关键代码：

  dim = size(data, /dimensions)
  row = dim[1]
  col = dim[0]

  re_mean = mean(mean(data, dimension=1))
  re_stev = mean(stddev(data, dimension=1))
  
  or_mean = mean(data, dimension=1)
  or_stev = stddev(data, dimension=1)
  
  datar = make_array(col, row, type=4)
  for i=0,col-1 do begin
    for j=0,row-1 do begin
      datar[i,j] = data[i,j]*re_stev / or_stev[j] + re_mean - $
                   or_mean[j]*re_stev / or_stev[j]
    endfor
  endfor

基于均值补偿的矩匹配算法

2020-5-3-16:34
CCD = 40
效果不好，甚至不如常规的矩匹配，可能是因为影像太大了，参考均值和方差不太合适。

  dim = size(data, /dimensions)
  row = dim[1]
  col = dim[0]
  print,row,col
  
  makeup = make_array(1, row, type