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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

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:  压缩感知的经典代码,包括观测,稀疏表示,重建,其中观测用的高斯观测矩阵,稀疏用的DCT,重建用的OMP算法(Compressed sensing of the classic code, including observations, sparse representation, reconstruction, observed with a Gaussian observation matrix, sparse use of the DCT, re-use of the OMP algorithm)
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    2020-07-04 14:57:42下载
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