📄 mirdwt.m
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function [x,L] = mirdwt(yl,yh,h,L);% function [x,L] = mirdwt(yl,yh,h,L);% % Function computes the inverse redundant discrete wavelet% transform x for a 1D or 2D input signal. (Redundant means here% that the sub-sampling after each stage of the forward transform% has been omitted.) yl contains the lowpass and yl the highpass% components as computed, e.g., by mrdwt. In the case of a 2D% signal, the ordering in% yh is [lh hl hh lh hl ... ] (first letter refers to row, second% to column filtering). %% Input:% yl : lowpass component% yh : highpass components% h : scaling filter% L : number of levels. In the case of a 1D signal, % length(yl) must be divisible by 2^L;% in the case of a 2D signal, the row and% the column dimension must be divisible by 2^L.% % Output:% x : finite length 1D or 2D signal% L : number of levels%% HERE'S AN EASY WAY TO RUN THE EXAMPLES:% Cut-and-paste the example you want to run to a new file % called ex.m, for example. Delete out the % at the beginning % of each line in ex.m (Can use search-and-replace in your editor% to replace it with a space). Type 'ex' in matlab and hit return.%%% Example 1:% xin = makesig('Leopold',8);% h = daubcqf(4,'min');% L = 1;% [yl,yh,L] = mrdwt(xin,h,L);% [x,L] = mirdwt(yl,yh,h,L)% x = 0.0000 1.0000 0.0000 -0.0000 0 0 0 -0.0000% L = 1% % Example 2: % load lena;% h = daubcqf(4,'min');% L = 2;% [ll_lev2,yh,L] = mrdwt(lena,h,L); % lena is a 256x256 matrix% N = 256;% lh_lev1 = yh(:,1:N); % hl_lev1 = yh(:,N+1:2*N); % hh_lev1 = yh(:,2*N+1:3*N);% lh_lev2 = yh(:,3*N+1:4*N); % hl_lev2 = yh(:,4*N+1:5*N); % hh_lev2 = yh(:,5*N+1:6*N);% figure; colormap(gray); imagesc(lena); title('Original Image');% figure; colormap(gray); imagesc(ll_lev2); title('LL Level 2');% figure; colormap(gray); imagesc(hh_lev2); title('HH Level 2');% figure; colormap(gray); imagesc(hl_lev2); title('HL Level 2');% figure; colormap(gray); imagesc(lh_lev2); title('LH Level 2');% figure; colormap(gray); imagesc(hh_lev1); title('HH Level 1');% figure; colormap(gray); imagesc(hl_lev2); title('HL Level 1');% figure; colormap(gray); imagesc(lh_lev2); title('LH Level 1');% [lena_Hat,L] = mirdwt(ll_lev2,yh,h,L);% figure; colormap(gray); imagesc(lena_Hat); % title('Reconstructed Image');%% See also: mdwt, midwt, mrdwt%% Warning! min(size(yl))/2^L should be greater than length(h)%%File Name: mirdwt.m%Last Modification Date: 08/07/95 15:14:21%Current Version: mirdwt.m 2.4%File Creation Date: Wed Oct 19 10:51:58 1994%Author: Markus Lang <lang@jazz.rice.edu>%%Copyright (c) 2000 RICE UNIVERSITY. All rights reserved.%Created by Markus Lang, Department of ECE, Rice University. %%This software is distributed and licensed to you on a non-exclusive %basis, free-of-charge. Redistribution and use in source and binary forms, %with or without modification, are permitted provided that the following %conditions are met:%%1. Redistribution of source code must retain the above copyright notice, % this list of conditions and the following disclaimer.%2. Redistribution in binary form must reproduce the above copyright notice, % this list of conditions and the following disclaimer in the % documentation and/or other materials provided with the distribution.%3. All advertising materials mentioning features or use of this software % must display the following acknowledgment: This product includes % software developed by Rice University, Houston, Texas and its contributors.%4. Neither the name of the University nor the names of its contributors % may be used to endorse or promote products derived from this software % without specific prior written permission.%%THIS SOFTWARE IS PROVIDED BY WILLIAM MARSH RICE UNIVERSITY, HOUSTON, TEXAS, %AND CONTRIBUTORS AS IS AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, %BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS %FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL RICE UNIVERSITY %OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, %EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, %PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; %OR BUSINESS INTERRUPTIONS) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, %WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR %OTHERWISE), PRODUCT LIABILITY, OR OTHERWISE ARISING IN ANY WAY OUT OF THE %USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.%%For information on commercial licenses, contact Rice University's Office of %Technology Transfer at techtran@rice.edu or (713) 348-6173%%Change History:% %Modification #1%Mon Aug 7 15:09:51 CDT 1995%Rebecca Hindman <hindman@ece.rice.edu>%Added L to function line so that it can be displayed as an output% %Modification #2 %Thursday Mar 2 2000% Added Example 2% Felix Fernandes <felixf@rice.edu>
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