📄 cp2tour.m
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function [bb,stats,coef] = CP2Tour(img,MaxDeep,titlestr)
% CP2dTour -- Cosine Packet Analysis in Adaptively Chosen Basis
% Usage
% [bb,stats,coef] = CP2dTour(img,MaxDeep,titlestr)
% Inputs
% img 2-d image; size n by n, n dyadic
% MaxDeep integer; limit on max depth of tree in best basis search
% titlestr string; name of signal
% Outputs
% bb basis quadtree of best basis
% stats stat quadtree of best basis
% coef coefficients in best basis
%
% Description
% Perform an adaptive cosine packet analysis on the given image,
% selecting the best basis and then plotting the CP coefficients
% for this basis along with the image overlaid by its 2-d partition.
%
global WLVERBOSE;
if nargin < 3
titlestr = '';
end
%
img0 = img - mean(mean(img));
stats = Calc2dStatTree('CP',img0,MaxDeep,'Sine','l^p',1);
bb = Best2dBasis(stats,MaxDeep);
coef = FPT2_CP(bb,img,MaxDeep);
if strcmp(WLVERBOSE,'Yes')
AutoImage(abs(coef));
ax = axis;
hold on;
Plot2dPartition(bb,'y',ax,MaxDeep);
title(sprintf('Coeff in CP BestBasis; %s',titlestr));
hold off;
drawnow;
end
%
figure
AutoImage(img);
ax = axis; hold on;
Plot2dPartition(bb,'y',ax,MaxDeep);
title(sprintf('Image & Best CP Partition; %s',titlestr));
drawnow; hold off;
% Written by Maureen Clerc and Jerome Kalifa, 1997
% clerc@cmapx.polytechnique.fr, kalifa@cmapx.polytechnique.fr
%% Part of Wavelab Version 850% Built Tue Jan 3 13:20:41 EST 2006% This is Copyrighted Material% For Copying permissions see COPYING.m% Comments? e-mail wavelab@stat.stanford.edu
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