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matlab 解决散斑图像的重建问题

于 2020-06-20 发布
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下载积分: 1 下载次数: 11
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代码说明：

说明：  解决散斑图像的重建问题,主要是使用了相位恢复算法(to study the picture problem)

文件列表：

HIO1.png, 143650 , 2019-07-17
HIO2.png, 221470 , 2019-07-17
HIO3.png, 183150 , 2019-07-17
HIO_ER, 0 , 2019-07-17
HIO_ER\1.bmp, 287446 , 2019-05-20
HIO_ER\centerImg.m, 283 , 2017-04-05
HIO_ER\Constrain.m, 315 , 2017-04-05
HIO_ER\ER.m, 598 , 2019-01-15
HIO_ER\fftXcorr2.m, 622 , 2019-04-29
HIO_ER\HIO.m, 851 , 2019-03-06
HIO_ER\PhaseRetrieval.m, 1597 , 2019-07-17
HIO_ER\PhaseRetrieval为主函数.txt, 0 , 2019-07-17
ParticleSwarmOptimization-master, 0 , 2019-07-17
ParticleSwarmOptimization-master\.gitignore, 42 , 2016-03-20
ParticleSwarmOptimization-master\fftXcorr2.m, 622 , 2019-04-29
ParticleSwarmOptimization-master\GoldsteinPrice.m, 614 , 2016-03-20
ParticleSwarmOptimization-master\Himmelblau.m, 635 , 2016-03-20
ParticleSwarmOptimization-master\license.txt, 1082 , 2016-03-20
ParticleSwarmOptimization-master\makeStruct.m, 531 , 2016-03-20
ParticleSwarmOptimization-master\mergeOptions.m, 2383 , 2016-03-20
ParticleSwarmOptimization-master\plotBowl.m, 1723 , 2016-03-20
ParticleSwarmOptimization-master\plotGoldsteinPrice.m, 2814 , 2016-03-20
ParticleSwarmOptimization-master\plotHimmelblau.m, 3614 , 2016-03-20
ParticleSwarmOptimization-master\plotPsoHistory.m, 2087 , 2016-03-20
ParticleSwarmOptimization-master\plotStyblinskiTang.m, 2825 , 2016-03-20
ParticleSwarmOptimization-master\PSO.m, 14007 , 2019-07-17
ParticleSwarmOptimization-master\PSO_Image.png, 144306 , 2016-03-20
ParticleSwarmOptimization-master\README.md, 6066 , 2016-03-20
ParticleSwarmOptimization-master\StyblinskiTang.m, 460 , 2016-03-20
ParticleSwarmOptimization-master\StyblinskiTangNoise.m, 551 , 2016-03-20
ParticleSwarmOptimization-master\test.m, 832 , 2019-07-17
ParticleSwarmOptimization-master\TEST_PSO_1.m, 767 , 2016-03-20
ParticleSwarmOptimization-master\TEST_PSO_2.m, 937 , 2016-03-20
ParticleSwarmOptimization-master\TEST_PSO_3.m, 946 , 2019-06-24
ParticleSwarmOptimization-master\TEST_PSO_4.m, 821 , 2016-03-20
ParticleSwarmOptimization-master\TEST_PSO_5.m, 1028 , 2016-03-20
ParticleSwarmOptimization-master\TEST_PSO_6.m, 4011 , 2016-03-20
ParticleSwarmOptimization-master\TEST_PSO_7.m, 1088 , 2016-03-20
ParticleSwarmOptimization-master\测试目标, 0 , 2019-07-17
ParticleSwarmOptimization-master\测试目标\2.tiff, 2313746 , 2019-07-08
ParticleSwarmOptimization-master\测试目标\三孔原图.tiff, 2313746 , 2019-07-08
ParticleSwarmOptimization-master\测试目标\光斑大小.tiff, 2313746 , 2019-07-08
基于光学记忆效应的非侵入式散射成像方法研究_吴腾飞.caj, 12493083 , 2019-07-17
待测试的2个数据集.txt, 244 , 2019-07-17

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    说明：  该gui函数基本上包括图像处理里面的最基本处理，相当于一个小型photoshop。比如读取文件，几何变换中的垂直镜像，平移，旋转，缩放；正交变换的DFT，FFT，DCT，DST，DHT，DWashT；灰度处理中的反色，直方图均衡，全局线性变换，分段线性变换，指数非线性变换，对数非线性变换；图像增强里面的加噪声，平滑，锐化，伪彩色增强；图像分割里面的灰度阈值法，Robert，Laplace，sobel，prewitt，canny算子边缘检测法；图像恢复里面的直接逆滤波，维纳滤波；图像编码里面的霍夫曼编码，行程编码等等(Basically, the gui functions including the most basic image processing inside the handle, which is equivalent to a small photoshop. For example, read the document, the geometric transformation of the vertical mirroring, shifting, rotating, zooming orthogonal transformation of the DFT, FFT, DCT, DST, DHT, DWashT anti-gray color processing, histogram equalization, global linear transformation , piecewise linear transformation, index of non-linear transform of the number of non-linear transformation image enhancement which increases the noise, smoothing, sharpening, pseudo-color enhancement the gray-scale image segmentation inside the threshold, Robert, Laplace, sobel, prewitt, canny edge detection operator method image restoration inside direct inverse filtering, Wiener filtering image coding inside the Huffman code, and so on Run-Length Coding)
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