Mercurial > hg > smallbox
comparison util/Rice Wavelet Toolbox/mirdwt.mhelp @ 78:f69ae88b8be5
added Rice Wavelet Toolbox with my modification, so it can be compiled on newer systems.
author | Ivan Damnjanovic lnx <ivan.damnjanovic@eecs.qmul.ac.uk> |
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date | Fri, 25 Mar 2011 15:27:33 +0000 |
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76:d052ec5b742f | 78:f69ae88b8be5 |
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1 function [x,L] = mirdwt(yl,yh,h,L); | |
2 % function [x,L] = mirdwt(yl,yh,h,L); | |
3 % | |
4 % Function computes the inverse redundant discrete wavelet | |
5 % transform x for a 1D or 2D input signal. (Redundant means here | |
6 % that the sub-sampling after each stage of the forward transform | |
7 % has been omitted.) yl contains the lowpass and yl the highpass | |
8 % components as computed, e.g., by mrdwt. In the case of a 2D | |
9 % signal, the ordering in | |
10 % yh is [lh hl hh lh hl ... ] (first letter refers to row, second | |
11 % to column filtering). | |
12 % | |
13 % Input: | |
14 % yl : lowpass component | |
15 % yh : highpass components | |
16 % h : scaling filter | |
17 % L : number of levels. In the case of a 1D signal, | |
18 % length(yl) must be divisible by 2^L; | |
19 % in the case of a 2D signal, the row and | |
20 % the column dimension must be divisible by 2^L. | |
21 % | |
22 % Output: | |
23 % x : finite length 1D or 2D signal | |
24 % L : number of levels | |
25 % | |
26 % HERE'S AN EASY WAY TO RUN THE EXAMPLES: | |
27 % Cut-and-paste the example you want to run to a new file | |
28 % called ex.m, for example. Delete out the % at the beginning | |
29 % of each line in ex.m (Can use search-and-replace in your editor | |
30 % to replace it with a space). Type 'ex' in matlab and hit return. | |
31 % | |
32 % | |
33 % Example 1: | |
34 % xin = makesig('Leopold',8); | |
35 % h = daubcqf(4,'min'); | |
36 % L = 1; | |
37 % [yl,yh,L] = mrdwt(xin,h,L); | |
38 % [x,L] = mirdwt(yl,yh,h,L) | |
39 % x = 0.0000 1.0000 0.0000 -0.0000 0 0 0 -0.0000 | |
40 % L = 1 | |
41 % | |
42 % Example 2: | |
43 % load lena; | |
44 % h = daubcqf(4,'min'); | |
45 % L = 2; | |
46 % [ll_lev2,yh,L] = mrdwt(lena,h,L); % lena is a 256x256 matrix | |
47 % N = 256; | |
48 % lh_lev1 = yh(:,1:N); | |
49 % hl_lev1 = yh(:,N+1:2*N); | |
50 % hh_lev1 = yh(:,2*N+1:3*N); | |
51 % lh_lev2 = yh(:,3*N+1:4*N); | |
52 % hl_lev2 = yh(:,4*N+1:5*N); | |
53 % hh_lev2 = yh(:,5*N+1:6*N); | |
54 % figure; colormap(gray); imagesc(lena); title('Original Image'); | |
55 % figure; colormap(gray); imagesc(ll_lev2); title('LL Level 2'); | |
56 % figure; colormap(gray); imagesc(hh_lev2); title('HH Level 2'); | |
57 % figure; colormap(gray); imagesc(hl_lev2); title('HL Level 2'); | |
58 % figure; colormap(gray); imagesc(lh_lev2); title('LH Level 2'); | |
59 % figure; colormap(gray); imagesc(hh_lev1); title('HH Level 1'); | |
60 % figure; colormap(gray); imagesc(hl_lev2); title('HL Level 1'); | |
61 % figure; colormap(gray); imagesc(lh_lev2); title('LH Level 1'); | |
62 % [lena_Hat,L] = mirdwt(ll_lev2,yh,h,L); | |
63 % figure; colormap(gray); imagesc(lena_Hat); | |
64 % title('Reconstructed Image'); | |
65 % | |
66 % See also: mdwt, midwt, mrdwt | |
67 % | |
68 % Warning! min(size(yl))/2^L should be greater than length(h) | |
69 % | |
70 | |
71 %File Name: mirdwt.m | |
72 %Last Modification Date: 08/07/95 15:14:21 | |
73 %Current Version: mirdwt.m 2.4 | |
74 %File Creation Date: Wed Oct 19 10:51:58 1994 | |
75 %Author: Markus Lang <lang@jazz.rice.edu> | |
76 % | |
77 %Copyright (c) 2000 RICE UNIVERSITY. All rights reserved. | |
78 %Created by Markus Lang, Department of ECE, Rice University. | |
79 % | |
80 %This software is distributed and licensed to you on a non-exclusive | |
81 %basis, free-of-charge. Redistribution and use in source and binary forms, | |
82 %with or without modification, are permitted provided that the following | |
83 %conditions are met: | |
84 % | |
85 %1. Redistribution of source code must retain the above copyright notice, | |
86 % this list of conditions and the following disclaimer. | |
87 %2. Redistribution in binary form must reproduce the above copyright notice, | |
88 % this list of conditions and the following disclaimer in the | |
89 % documentation and/or other materials provided with the distribution. | |
90 %3. All advertising materials mentioning features or use of this software | |
91 % must display the following acknowledgment: This product includes | |
92 % software developed by Rice University, Houston, Texas and its contributors. | |
93 %4. Neither the name of the University nor the names of its contributors | |
94 % may be used to endorse or promote products derived from this software | |
95 % without specific prior written permission. | |
96 % | |
97 %THIS SOFTWARE IS PROVIDED BY WILLIAM MARSH RICE UNIVERSITY, HOUSTON, TEXAS, | |
98 %AND CONTRIBUTORS AS IS AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, | |
99 %BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS | |
100 %FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL RICE UNIVERSITY | |
101 %OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, | |
102 %EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, | |
103 %PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; | |
104 %OR BUSINESS INTERRUPTIONS) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, | |
105 %WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR | |
106 %OTHERWISE), PRODUCT LIABILITY, OR OTHERWISE ARISING IN ANY WAY OUT OF THE | |
107 %USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. | |
108 % | |
109 %For information on commercial licenses, contact Rice University's Office of | |
110 %Technology Transfer at techtran@rice.edu or (713) 348-6173 | |
111 % | |
112 %Change History: | |
113 % | |
114 %Modification #1 | |
115 %Mon Aug 7 15:09:51 CDT 1995 | |
116 %Rebecca Hindman <hindman@ece.rice.edu> | |
117 %Added L to function line so that it can be displayed as an output | |
118 % | |
119 %Modification #2 | |
120 %Thursday Mar 2 2000 | |
121 % Added Example 2 | |
122 % Felix Fernandes <felixf@rice.edu> | |
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