v1.2 19 décembre

[these_gilles.git] / THESE / codes / wave / allcode / denoising_dtdwt.m

diff --git a/THESE/codes/wave/allcode/denoising_dtdwt.m b/THESE/codes/wave/allcode/denoising_dtdwt.m
index 73377df6ca689e7c9458e9f137f64bd9350ccc96..c75031360fabca17c5cb52cb8c2a807258765d9a 100644 (file)
--- a/THESE/codes/wave/allcode/denoising_dtdwt.m
+++ b/THESE/codes/wave/allcode/denoising_dtdwt.m
@@ -24,8 +24,8 @@ load nor_dualtree    % run normaliz_coefcalc_dual_tree to generate this mat file
 
 % Forward dual-tree DWT
 % Either FSfarras or AntonB function can be used to compute the stage 1 filters  
 
 % Forward dual-tree DWT
 % Either FSfarras or AntonB function can be used to compute the stage 1 filters  

-%[Faf, Fsf] = FSfarras;
-[Faf, Fsf] = AntonB;
+[Faf, Fsf] = FSfarras;
+%[Faf, Fsf] = AntonB;

 [af, sf] = dualfilt1;
 W = cplxdual2D(x, J, Faf, af);
 W = normcoef(W,J,nor);
 [af, sf] = dualfilt1;
 W = cplxdual2D(x, J, Faf, af);
 W = normcoef(W,J,nor);


@@ -77,4 +77,4 @@ y = icplxdual2D(W, J, Fsf, sf);
 
 % Extract the image
 ind = 2^(J-1)+1:2^(J-1)+L;
 
 % Extract the image
 ind = 2^(J-1)+1:2^(J-1)+L;

-y = y(ind,ind);
\ No newline at end of file
+y = y(ind,ind);