OMPBox v10 README
October 18, 2009
OMPBox installation:
--------------------
1. Unpack the contents of the compressed file to a new directory, named e.g. "ompbox".
2. If you have not done so before, configure Matlab's MEX compiler by entering
>> mex -setup
prior to using MAKE. For optimal performance, it is recommended that you select a compiler
that performs optimizations. For instance, in Windows, MS Visual Studio is preferred to Lcc.
3. Within Matlab, navigate to the OMPBox directory, and then to the "private" directory within it,
and enter MAKE to run the compilation script.
4. Add the OMPBox package directory to the Matlab path (you can use the ADDPATH command for this).
Do not add the private directory to the path.
OMPBox quick start:
-------------------
1. Enter "ompdemo" at the Matlab command prompt to run a short demo of the package.
2. Enter "ompspeedtest" to test the speed of the various OMP implementations.
3. For a complete list of functions in the package, enter
>> help ompbox
This assumes the package was installed to a directory named "ompbox". If not, replace ompbox
in the above with the (unqualified) name of the OMPBox installation directory.
Also see faq.txt for some frequently asked questions about the package.
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KIM3.0含去噪.rar (61个子文件)
KIM3.0含去噪
KIM3.0含去噪.rar 603KB
KIM3.0含去噪
015.png 23KB
image_kernel.m 973B
Rgb2ycbcr_func.m 117B
ompbox10
ompver.m 8KB
private
omp2mex.mexw64 23KB
myblas.c 12KB
mexutils.h 4KB
ompprof.c 4KB
myblas.h 14KB
ompcore.c 12KB
ompmex.m 792B
omp2mex.m 896B
ompprof.h 3KB
mexutils.c 2KB
ompmex.c 3KB
omp2mex.c 3KB
ompmex.mexw64 22KB
omputils.c 2KB
printf.m 693B
ompcore.h 3KB
omputils.h 2KB
make.m 811B
omp2.m 6KB
ompdemo.m 2KB
faq.txt 2KB
omp.m 5KB
Contents.m 559B
ompspeedtest.m 2KB
readme.txt 1KB
PCANoiseLevelEstimator.m 6KB
results
c02_2.tif.tif 36KB
a05_2.tif.tif 61KB
a01_2.tif.tif 58KB
b07_2.tif.tif 64KB
029.jpg.tif 101KB
b05_2.tif.tif 76KB
c05_2.tif.tif 48KB
a08_2.tif.tif 54KB
b04_2.tif.tif 75KB
steering.m 1KB
main.m 2KB
Lowfusion.m 307B
gaussian.m 202B
Lowfusion3.m 316B
015_.jpg 13KB
Dic_learning.m 152B
Highfusion_plus_clear.m 189B
ckr2_regular.m 2KB
construction.m 2KB
ycbcr2RGB_func.m 120B
sparse_fusion_plus.m 2KB
Patches_get.m 692B
EdgeMirror.m 406B
result_kim.tif 56KB
skr2_regular.m 3KB
clustering.m 1KB
sp_fusion_kimnew.m 4KB
Hfusion_clear.m 473B
downsample2.m 246B
test_nogau.m 3KB
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