SR 利用稀疏矩阵思想进行图像的超分辨率重建

利用稀疏矩阵思想进行图像的超分辨率重建，效果较好。

function [im_h] = backprojection（im_h im_l maxIter）

[row_l col_l] = size（im_l）;
[row_h col_h] = size（im_h）;

p = fspecial（‘gaussian‘ 5 1）;
p = p.^2;
p = p./sum（p（:））;

im_l = double（im_l）;
im_h = double（im_h）;

for ii = 1:maxIter
    im_l_s = imresize（im_h [row_l col_l] ‘bicubic‘）;
    im_diff = im_l - im_l_s;
    
    im_diff = imresize（im_diff [row_h col_h] ‘bicubic‘）;
    im_h = im_h + conv2（im_diff p ‘same‘）;
end
    

 属性            大小     日期    时间   名称
----------- ---------  ---------- -----  ----

     文件        460  2011-01-28 22:41  ScSR\backprojection.m

     文件        293  2011-01-12 22:56  ScSR\compute_rmse.m

     文件     196662  2011-01-10 21:54  ScSR\Data\Testing\gnd.bmp

     文件      49206  2011-01-18 13:51  ScSR\Data\Testing\input.bmp

     文件     196662  2011-01-28 23:07  ScSR\Data\Testing\result.bmp

     文件     104246  2007-10-14 17:36  ScSR\Data\Training\t1.bmp

     文件     118614  2007-10-14 20:44  ScSR\Data\Training\t11.bmp

     文件      40990  2007-10-14 20:45  ScSR\Data\Training\t12.bmp

     文件     101010  2007-10-14 20:45  ScSR\Data\Training\t13.bmp

     文件      76990  2007-10-14 20:46  ScSR\Data\Training\t14.bmp

     文件      83894  2007-10-14 20:47  ScSR\Data\Training\t16.bmp

     文件      69786  2007-10-14 20:47  ScSR\Data\Training\t17.bmp

     文件      55782  2007-10-14 20:48  ScSR\Data\Training\t18.bmp

     文件      96174  2007-10-14 20:48  ScSR\Data\Training\t19.bmp

     文件      92418  2007-10-14 17:37  ScSR\Data\Training\t2.bmp

     文件      18462  2007-10-14 20:48  ScSR\Data\Training\t20.bmp

     文件      41346  2007-10-14 20:49  ScSR\Data\Training\t21.bmp

     文件      59718  2007-10-14 20:49  ScSR\Data\Training\t22.bmp

     文件      46902  2007-10-14 20:49  ScSR\Data\Training\t23.bmp

     文件      37290  2007-10-14 20:50  ScSR\Data\Training\t24.bmp

     文件     125190  2007-10-14 20:50  ScSR\Data\Training\t25.bmp

     文件      58742  2007-10-14 20:51  ScSR\Data\Training\t26.bmp

     文件     126030  2007-10-14 20:51  ScSR\Data\Training\t27.bmp

     文件      92550  2007-10-14 20:52  ScSR\Data\Training\t28.bmp

     文件      89334  2007-10-14 17:38  ScSR\Data\Training\t3.bmp

     文件      61662  2007-10-14 20:52  ScSR\Data\Training\t30.bmp

     文件     101670  2007-11-09 22:17  ScSR\Data\Training\t31.bmp

     文件      86646  2007-11-09 22:17  ScSR\Data\Training\t32.bmp

     文件      66362  2007-11-09 22:19  ScSR\Data\Training\t34.bmp

     文件     125306  2007-11-09 22:21  ScSR\Data\Training\t35.bmp

............此处省略142个文件信息