Mercurial > hg > smallbox
diff DL/RLS-DLA/private/genPDF.m @ 60:ad36f80e2ccf
(none)
author | idamnjanovic |
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date | Tue, 15 Mar 2011 12:20:59 +0000 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/DL/RLS-DLA/private/genPDF.m Tue Mar 15 12:20:59 2011 +0000 @@ -0,0 +1,113 @@ +function [pdf,val] = genPDF(imSize,p,pctg,distType,radius,disp) + +%[pdf,val] = genPDF(imSize,p,pctg [,distType,radius,disp]) +% +% generates a pdf for a 1d or 2d random sampling pattern +% with polynomial variable density sampling +% +% Input: +% imSize - size of matrix or vector +% p - power of polynomial +% pctg - partial sampling factor e.g. 0.5 for half +% distType - 1 or 2 for L1 or L2 distance measure +% radius - radius of fully sampled center +% disp - display output +% +% Output: +% pdf - the pdf +% val - min sampling density +% +% +% Example: +% [pdf,val] = genPDF([128,128],2,0.5,2,0,1); +% +% (c) Michael Lustig 2007 + +% This file is used with the kind permission of Michael Lustig +% (mlustig@stanford.edu), and originally appeared in the +% SparseMRI toolbox, http://www.stanford.edu/~mlustig/ . +% +% $Id: genPDF.m 1040 2008-06-26 20:29:02Z ewout78 $ + + +if nargin < 4 + distType = 2; +end + +if nargin < 5 + radius = 0; +end + +if nargin < 6 + disp = 0; +end + + +minval=0; +maxval=1; +val = 0.5; + +if length(imSize)==1 + imSize = [imSize,1]; +end + +sx = imSize(1); +sy = imSize(2); +PCTG = floor(pctg*sx*sy); + + +if sum(imSize==1)==0 % 2D + [x,y] = meshgrid(linspace(-1,1,sy),linspace(-1,1,sx)); + switch distType + case 1 + r = max(abs(x),abs(y)); + otherwise + r = sqrt(x.^2+y.^2); + r = r/max(abs(r(:))); + end + +else %1d + r = abs(linspace(-1,1,max(sx,sy))); +end + + + + +idx = find(r<radius); + +pdf = (1-r).^p; pdf(idx) = 1; +if floor(sum(pdf(:))) > PCTG + error('infeasible without undersampling dc, increase p'); +end + +% begin bisection +while(1) + val = minval/2 + maxval/2; + pdf = (1-r).^p + val; pdf(find(pdf>1)) = 1; pdf(idx)=1; + N = floor(sum(pdf(:))); + if N > PCTG % infeasible + maxval=val; + end + if N < PCTG % feasible, but not optimal + minval=val; + end + if N==PCTG % optimal + break; + end +end + +if disp + figure, + subplot(211), imshow(pdf) + if sum(imSize==1)==0 + subplot(212), plot(pdf(end/2+1,:)); + else + subplot(212), plot(pdf); + end +end + + + + + +