ba13a3f053
new file: Copy_of_Exz_with_hamamatsu.m new file: Exz_mod.m new file: Exz_with_hamamatsu.m new file: GS.m new file: MRAF.m new file: MRAF_8bit.bmp new file: PSF of spherical aberration/Exz.m new file: PSF of spherical aberration/Thumbs.db new file: PSF of spherical aberration/josaa-12-10-2136.pdf new file: PSF of spherical aberration/josaa-12-2-325.pdf new file: PSF of spherical aberration/main.m new file: "PSF of spherical aberration/\351\207\215\350\246\201psf\346\226\207\347\214\256.pdf" new file: Spherical_aberration_SiminCao.m new file: gen_m.m new file: gen_rectangle.m new file: hamamatsu.m new file: m.tif new file: m2.tif new file: photo/50-30.BMP new file: photo/8bit_50-30.BMP new file: photo/8bit_ellipse.BMP new file: photo/convert_8bit.exe new file: photo/ellipse.BMP new file: rect_MRAF_SiminCao.m new file: rectangle.tif new file: size/.vscode/settings.json new file: size/black_c_20THSize_4f_1.064lamda.bmp new file: size/black_c_30THSize_4f_61.064lamda.bmp new file: size/black_output.bmp new file: size/black_rect_30THSize_4f_1.064lamda.bmp new file: size/black_rect_30THSize_4f_6_1.064lamda.bmp new file: size/c_20THSize_4f_1.064lamda.bmp new file: size/c_20THSize_4f_1.064lamda_resize.bmp new file: size/c_30THSize_4f_61.064lamda.bmp new file: size/c_30THSize_4f_61.064lamda_resize.bmp new file: size/noisy_output.bmp new file: size/output.bmp new file: size/rect_30THSize_4f_1.064lamda.bmp new file: size/rect_30THSize_4f_1.064lamda_resize.bmp new file: size/rect_30THSize_4f_6_1.064lamda.bmp new file: size/rect_30THSize_4f_6_1.064lamda_resize.bmp new file: size/resize_4.7z new file: size/resize_black.7z new file: size/size copy.py new file: size/size.py new file: size/wave.7z new file: sp.m new file: to8bit.m new file: trans_8bit.zip new file: wavef/A.bmp new file: wavef/B_linear.bmp new file: wavef/PHA SID230828-2003.csv new file: wavef/PHA_bilinear_1280_1024.csv new file: wavef/PHA_bilinear_reversal.csv new file: wavef/PHA_output_1280_1024.csv new file: wavef/Untitled-1.py new file: wavef/filled.bmp new file: wavef/from PIL import Image.py new file: wavef/matrix_filled.csv new file: wavef/output.bmp new file: wavef/output.csv new file: wavef/output2.bmp new file: wavef/pha_wavef copy.py new file: wavef/pha_wavef.py new file: wavef/pha_wavef_step.py new file: wavef/wavef.zip new file: wavef/xy_values.csv new file: "wavef/\346\226\260\345\273\272\346\226\207\344\273\266\345\244\271/matrix.csv" new file: "wavef/\346\226\260\345\273\272\346\226\207\344\273\266\345\244\271/matrix_filled.csv"
49 lines
2.1 KiB
Matlab
49 lines
2.1 KiB
Matlab
A = imread('rectangle.tif'); % 读取目标强度图像Target.bmp，要求格式是8bit bmp图像
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C = double(A); %将uint8格式转化为double格式，好进行后续的处理
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C1 = abs(C); %得到目标强度分布的幅度值
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for p = 1:100; %设置迭代循环次数
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C = fftshift(C); %在处理之前，进行fftshift处理
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D = ifft2(C); %首先是对目标图像进行反向傅里叶变化处理，即我ppt中推荐的方法2
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D = fftshift(D); %反向傅里叶变换之后，再进行fftshift处理，从而得到入射面（SLM面）上的幅度和相位分布，其中幅度是=abs（D），相位是angle(D);
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D2 = angle(D); %得到SLM上入射面的相位分布
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D = ones(size(A)) .* exp(i .* D2); %将SLM入射面的幅度替换为入射光的强度，这里入射光强度假设为均匀分布。效果一般也不错，如果有有需要，将ones(sizes(A))替换为入射光强的图像就可以了。
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D = fftshift(D); %然后进行从入射面到傅里叶平面的傅里叶变换，首先也是进行fftshift处理
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C = fft2(D); %进行fft2处理
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C = fftshift(C); %然后ffthisft
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C2 = angle(C); %得到相位
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C = C1 .* exp(i .* C2); %然后对傅里叶平面，相位把持不变，幅值替换为目标强度分布的幅值
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p = p + 1; % 循环次数+1
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end
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C = fftshift(C); %因为循环结束是得到的傅里叶平面的强度和相位，所以需要再进行一次ift变换，从而得到SLM上的相位
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D = ifft2(C);
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D = fftshift(D);
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D = angle(D); %这个就是SLM上最终相位
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for l = 1:size(D, 1)
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for m = 1:size(D, 2)
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if D(l, m) < 0
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D(l, m) = D(l, m) + 2 * pi; %因为angle函数输出不是0-2pi，采用这个部分，将其转化为0-2pi。
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end
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end
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end
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D = 128 / pi * D; %将0-2pi转化为0-255
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D = uint8(D); %转化为8bit 格式
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D = repmat(D, 10, 10);
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D = D(1:1024, 1:1272);
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imwrite(D, 'CGH.bmp'); %存储为8bit bmp
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figure, imshow(D)
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%如何粗略模拟计算的CGH的结果
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c = imread('CGH.bmp');
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c = double(c);
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a = exp(i .* c * 2 * pi / 255);
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d = fft2(a);
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d = fftshift(d);
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d = abs(d);
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imagesc(d)
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