MATLAB Curvelet-2PCNN图像融合算法

curvelet-2PCNN图像融合算法核心源码 by vincent  close all; clear all; path(path,'PCNN_toolbox/') path(path,'nsct_toolbox') path(path,'FusionEvaluation/') path(path,'fusetool/') A=double(imread('1.jpg'));  B=double(imread('2.jpg'));  %% Parameters for PCNN Para.iterTimes=200; Para.link_arrange=3; Para.alpha_L=0.06931;% 0.06931 Or 1 Para.alpha_Theta=0.2; Para.beta=3;% 0.2 or 3 Para.vL=1.0; Para.vTheta=20; %% disp('Decompose the image curvelet ...') yA = fdct_wrapping(A,1,2);  yB = fdct_wrapping(B,1,2); n = length(yA); %% Initialized the coefficients of fused image Fused=yB; ========================================= % Lowpass subband disp('Process in Lowpass subband...')         ALow1 = yA{1}{1};         BLow1 = yB{1}{1}; [Abeta,Bbeta] = weighting(ALow1,BLow1); Fused{1}{1}=Dual_PCNN(ALow1,BLow1,Abeta,Bbeta); %Fused{2}=fusion_NSCT_SF_PCNN(ALow2,BLow2,Para); %% %============================================= % Bandpass subbands disp('Process in  Bandpass subbands...') for l = 2:n  %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%     for d = 1:length(yA{l})         %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%         Ahigh = yA{l}{d};         Bhigh = yB{l}{d};       [Abeta,Bbeta] = weighting(Ahigh,Bhigh);  %%       Fused{l}{d} = fusion_NSCT_SF_PCNN(Ahigh,Bhigh,Para);                  Fused{l}{d}=Dual_PCNN(Ahigh,Bhigh,Abeta,Bbeta);         %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%     end end disp('High frequecy field process is ended') %============================================= disp('Reconstruct the image curvelet ...') f_im = real(ifdct_wrapping(Fused,1));  disp('Reconstruct is ended...') %% f_im=f_im/255; imwrite(f_im ,'6.jpg','jpg'); im2=imread('6.jpg'); im=imread('1.jpg'); im1=imread('2.jpg'); grey_level=256; Result=zeros(1,2); Result(1,1)=mutural_information(im,im1,im2,grey_level); Result(1,2)=edge_association(im,im1,im2); Result