文件列表:

TVinpaint_demo.m (2220, 2009-04-28)
c\mxtrp.c (1157, 2009-03-10)
c\tools.c (6181, 2009-03-10)
c\tools.h (909, 2009-03-10)
c\tv_core.c (19823, 2009-03-10)
c\tv_core.h (1073, 2009-03-10)
c\tv_deblur.c (1295, 2009-03-10)
c\tv_deblur_rr.c (1892, 2009-03-10)
c\tv_denoise.c (1407, 2009-03-10)
c\tv_inpaint.c (2001, 2009-03-10)
externlib\fftw3.h (14348, 2009-03-10)
externlib\libfftw3-3.lib (480638, 2009-03-10)
externlib\libut.lib (474884, 2009-03-10)
Contents.m (1865, 2009-04-28)
dcts2.m (1076, 2009-03-10)
dcts.m (1326, 2009-03-10)
dctshift.m (1251, 2009-03-10)
idcts2.m (1147, 2009-03-10)
idcts.m (1423, 2009-03-10)
info_type_deblur.m (644, 2009-03-10)
info_type_denoise.m (426, 2009-03-10)
info_type_inpaint.m (430, 2009-03-10)
install_linux.m (2515, 2009-04-28)
install_windows.m (3177, 2009-04-28)
mxtrp.mexw32 (8192, 2009-04-28)
Pirate.tif (266896, 2009-03-10)
Text.bmp (786486, 2009-03-10)
tv_deblur.mexw32 (22016, 2009-04-28)
tv_deblur_rr.mexw32 (22528, 2009-04-28)
tv_denoise.mexw32 (15872, 2009-04-28)
tv_inpaint.mexw32 (16384, 2009-04-28)
TVdeblur.m (6509, 2009-04-28)
TVdeblur_demo.m (2295, 2009-04-28)
TVdenoise.m (3001, 2009-04-28)
TVdenoise_demo.m (1969, 2009-04-28)
TVinpaint.m (3767, 2009-04-28)
c (0, 2010-02-04)
externlib (0, 2010-02-04)

**************************************************************** * * * mxTV - a Matlab package for * * Total Variation Image Reconstruction * * * * Requires Matlab version 7.5 or later * * * **************************************************************** This package includes Matlab and C codes for Total Variation (TV) image reconstruction: denoising, inpainting, and deblurring. If you use this package, please give reference to: J. Dahl, P.C. Hansen, S.H. Jensen and T.L. Jensen, Algorithms and Software for Total Variation Image Reconstruction via First-Order Methods, Numerical Algorithms, xxx. The code is part of the project CSI: Computational Science in Imaging, supported by the Danish Research Council for Technology and Production Sciences. The work was carried out at Aalborg University and Technical University of Denmark. Note that the FFTW software is needed only for the TV deblurring C code. If the FFTW code is not installed (as described below) the C codes for denoising and in-painting will still work. Installation guide for Windows ------------------------------ 1. Go to http://www.fftw.org/install/windows.html and get the pre- compiled FFTW for Windows. To determine if your computer uses 32 or *** bits, execute the Matlab command mexext, which returns a string. If the string includes the characters '***' then your computer uses *** bits, otherwise it uses 32 bits. 2. Unzip the downloaded file and put it in a new folder, for example: c:\Program Files\fftw-zzz-dll where zzz denotes the version of the files. 3. Go to Start -> Control Panel -> System, select Advanced and then Environmental Variables. In the bottom half of the window, under System variables, select Path, and append the full path to the directory where you unzipped the FFTW. You do this by adding the path after the last ";" and finish with a ";". 4. Go to the directory where you keep your other Matlab toolboxes, and unzip the mxTV.zip files to a new folder mxTV. 5. Start Matlab and go to the above mxTV folder. 6. Run "install_windows". If asked, select the Lcc-win32 compiler bundled with Matlab as compiler. If you have used another compiler previous, run "mbuild -setup" and select the Lcc-win32 compiler. 7. Add mxTV to Matlab's path: go to File -> Set Path -> Add Folder and choose the folder where mxTV is located. Then save and close. Alternatively, you can use the addpath command in Matlab. You may have to restart Matlab at this point. 8. To learn more, try the three demos: TVdenoise_demo, TVinpaint_demo, and TVdeblur_demo. This installation is tested with the Lcc compiler bundled with Matlab. More options are available in install_windows.m. Installation guide for Linux and Unix ------------------------------------- 1. Get the fftw3 software from www.fftw.org/download.html or via your package manager, and install it. Two packages are needed: libfftw3-3 (base software) and libfftw3-dev (development software, needed for header files). 2. Go to the directory where you keep your other Matlab toolboxes, and unzip the mxTV.zip files to a new directory mxTV. 3. Start Matlab and go to the above mxTV directory. 4. Run "install_linux". You can ignore any warnings deriving from an officially unsupported version of gcc. 5. Add mxTV to Matlab's path: go to File -> Set Path -> Add Folder and choose the folder where mxTV is located. Then save and close. Alternatively, you can use the addpath command in Matlab. You may have to restart Matlab at this point. 6. To learn more, try the three demos: TVdenoise_demo, TVinpaint_demo, and TVdeblur_demo. If you have any problems on Windows, Linus or Unix, please check the files install_windows.m and install_linux.m.

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