Contourlet_toolbox
所属分类:图形图像处理
开发工具:matlab
文件大小:859KB
下载次数:7
上传日期:2018-05-06 22:00:57
上 传 者:
Aros
说明: contourlet工具包(适用于MATLAB)
包括小波变换、Contourlet变换分解与重构、方向滤波器组分解与重构等源代码。
注意:使用时有部分C文件可能需要重新进行混合编译。(命令窗口:mex 文件名.c)
(Contourlet Toolkit (for MATLAB)
Including wavelet transform, Contourlet transform decomposition and reconstruction, directional filter bank decomposition and reconstruction and other source code.
Note: some C files may need to be re compiled when used. (command window: mex filename.C))
文件列表:
Contourlet去噪 (0, 2018-05-06)
Contourlet去噪\Contourlet toolbox_nsct_toolbox (0, 2018-05-06)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\atrousc.c (2969, 2004-10-17)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\atrousc.dll (7168, 2004-10-17)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\atrousc.mexmac (8664, 2005-01-24)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\atrousdec.m (1234, 2018-04-14)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\atrousfilters.m (19406, 2004-09-09)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\atrousrec.m (1012, 2004-10-17)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\decdemo.m (3214, 2005-01-21)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\dfbdecdemo.m (1495, 2004-12-22)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\dfilters.m (13234, 2004-10-18)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\dmaxflat.m (2607, 2004-12-22)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\efilter2.m (1103, 2003-04-10)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\extend2.m (1861, 2003-11-06)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\ld2quin.m (856, 2003-04-10)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\ldfilter.m (662, 2003-11-05)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\mctrans.m (854, 2003-11-05)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\modulate2.m (775, 2003-04-10)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\nsctdec.m (4662, 2005-11-03)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\nsctrec.m (3257, 2005-11-03)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\nsdfbdec.m (5046, 2005-01-20)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\nsdfbrec.m (4931, 2005-01-20)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\nsfbdec.m (889, 2005-12-19)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\nsfbrec.m (821, 2004-10-21)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\nssfbdec.m (2424, 2005-01-20)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\nssfbrec.m (2785, 2005-01-20)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\parafilters.m (1552, 2004-08-07)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\qupz.m (1161, 2003-11-07)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\resampz.m (1981, 2003-04-10)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\shownsct.m (1001, 2005-01-20)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\symext.m (888, 2005-12-19)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\upsample2df.m (161, 2004-10-16)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\wfilters.m (3680, 2018-04-20)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\zconv2.c (4056, 2005-01-12)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\zconv2.dll (7168, 2005-01-20)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\zconv2.mexmac (8664, 2005-01-12)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\zconv2S.c (4042, 2005-01-12)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\zconv2S.dll (7168, 2005-01-20)
Contourlet去噪\Contourlet toolbox_nsct_toolbox\zconv2S.mexmac (8700, 2005-01-12)
... ...
Contourlet Toolbox (version 2.0, November 2003)
http://www.ifp.uiuc.edu/~minhdo/software/
This toolbox contains Matlab files that implement the contourlet
transform and its utility functions.
The main functions are the following. In addition, there are several demos
(decdemo, nlademo, nlademo2, and denoisedemo) that provide examples on
how to use these functions. For an overview description of all functions
provided in the toolbox, see file Contents.m or type
help
at the Matlab command.
pdfbdec: Contourlet or pyramidal directional filter bank (PDFB)
decomposition.
For example, suppose that x is a double matrix, then
y = pdfbdec(x, '9-7', 'pkva', [0, 3, 3, 4]);
will decompose x using a PDFB with '9-7' filter for the
pyramidal decomposition stage and 'pkva' filter for the
direction decomposition stage. There will be 4 levels of
pyramidal decomposition and the numbers directional
decomposition at each pyramidal level (from coarse to fine)
are: 0, 3, 3, and 4. The output y has cell vector structure 胞向量结构
such that:
y{1} is the lowpass subband image;
y{2}{1}, y{2}{2}, y{2}{3} are 3 highpass subband images 3高通子带图像
that together with y{1} is output of 2-D wavelet
filter bank;
y{3}{1}, ..., y{3}{8} are 8 directional subband images at 8方向子带图像
the next finer pyramidal level;
y{4}{1}, ..., y{4}{8} are 8 directional subband images at
the next finer pyramidal level;
y{5}{1}, ..., y{5}{16} are 16 directional subband images at
the finest pyramidal level.
For other available pyramidal and directional filter names,
see functions dfilters and pfilters, respectively.分别地
Function pdfbdec can also be used for 2-D wavelet decomposition
For example,
y = pdfbdec(x, '9-7', '', zeros(1, 4))
will decompose x into 4-level wavelet decomposition using
'9-7' filter.
pdfbrec: Pyramidal directional filter bank (PDFB) reconstruction.
This is the inverse of the last function, i.e.
xrec = pdfbrec(y, '9-7', 'pkva');
would reconstruct xrec = x.
showpdfb: Show the PDFB output.
pdfb_tr: Truncate the PDFB coefficients to the given subbands or
a number of most significant coefficients. 将PDFB系数截断到给定的子带或一些最重要的系数。
pdfb2vec: Convert the PDFB output into a vector of coefficients. 系数
vec2pdfb: Undo the last function.
Note: There is one mex file (resampc.c) in the Contourlet Toolbox
that might need to be recompiled.
This can be done by typing from the Matlab command window
>> mex resampc.c
References:
[1] M. N. Do and M. Vetterli, "The contourlet transform: an efficient
directional multiresolution image representation."
submitted to IEEE Transactions Image Processing, 2003.
[2] M. N. Do and M. Vetterli, "Contourlets." Beyond Wavelets,
G. V. Welland ed., Academic Press, 2003.
[3] M. N. Do and M. Vetterli, "Contourlets: a directional multiresolution
image representation," IEEE International Conference on Image Processing
Rochester, September 2002.
(Check http://www.ifp.uiuc.edu/~minhdo/publications/ for these and
other related papers.)
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