1 簡介

基于Matlab強大的圖像處理工具箱函數(shù),用加權(quán)平均法、拉普拉斯金字塔變換法、小波變換法對圖像進行融合,然后用客觀評價法中的相應(yīng)評價指標對其融合結(jié)果進行質(zhì)量評價。實驗表明,小波變換法的圖像融合效果最好。

2 部分代碼

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 仿真結(jié)果

4 參考文獻

[1]黃小丹. 基于拉普拉斯金字塔變換的小波域圖像融合[J]. 電子科技, 2014, 27(6):170.

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