【图像融合】基于拉普拉斯金字塔+小波变换实现图像融合含Matlab源码

【图像融合】基于拉普拉斯金字塔+小波变换实现图像融合含Matlab源码

1 简介

基于Matlab强大的图像处理工具箱函数,用加权平均法、拉普拉斯金字塔变换法、小波变换法对图像进行融合,然后用客观评价法中的相应评价指标对其融合结果进行质量评价。实验表明,小波变换法的图像融合效果最好。

2 部分代码

function Y = fuse_lap(M1, M2, zt, ap, mp) %Y = fuse_lap(M1, M2, zt, ap, mp) image fusion with laplacian pyramid % % M1 - input image A % M2 - input image B % zt - maximum decomposition level % ap - coefficient selection highpass (see selc.m) % mp - coefficient selection base image (see selb.m) % % Y - fused image % (Oliver Rockinger 16.08.99) % check inputs [z1 s1] = size(M1); [z2 s2] = size(M2); if (z1 ~= z2) | (s1 ~= s2) error('Input images are not of same size'); end; % define filter w = [1 4 6 4 1] / 16; % cells for selected images E = cell(1,zt); % loop over decomposition depth -> analysis for i1 = 1:zt % calculate and store actual image size [z s] = size(M1); zl(i1) = z; sl(i1) = s; % check if image expansion necessary if (floor(z/2) ~= z/2), ew(1) = 1; else, ew(1) = 0; end; if (floor(s/2) ~= s/2), ew(2) = 1; else, ew(2) = 0; end; % perform expansion if necessary if (any(ew)) M1 = adb(M1,ew); M2 = adb(M2,ew); end; % perform filtering G1 = conv2(conv2(es2(M1,2), w, 'valid'),w', 'valid'); G2 = conv2(conv2(es2(M2,2), w, 'valid'),w', 'valid'); % decimate, undecimate and interpolate M1T = conv2(conv2(es2(undec2(dec2(G1)), 2), 2*w, 'valid'),2*w', 'valid'); M2T = conv2(conv2(es2(undec2(dec2(G2)), 2), 2*w, 'valid'),2*w', 'valid'); % select coefficients and store them E(i1) = {selc(M1-M1T, M2-M2T, ap)}; % decimate M1 = dec2(G1); M2 = dec2(G2); end; % select base coefficients of last decompostion stage M1 = selb(M1,M2,mp); % loop over decomposition depth -> synthesis for i1 = zt:-1:1 % undecimate and interpolate M1T = conv2(conv2(es2(undec2(M1), 2), 2*w, 'valid'), 2*w', 'valid'); % add coefficients M1 = M1T + E{i1}; % select valid image region M1 = M1(1:zl(i1),1:sl(i1)); end; % copy image Y = M1;

3 仿真结果

4 参考文献

[1]黄小丹. 基于拉普拉斯金字塔变换的小波域图像融合[J]. 电子科技, 2014, 27(6):170.

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