Microscopic PIE imaging with theory of compressive sensing

被引：0

作者：

He, Jing ^{[1
]}

Liu, Cheng ^{[1
]}

Gao, Shumei ^{[1
]}

Wang, Jicheng ^{[1
]}

Wang, Yueke ^{[1
]}

Zhu, Jianqiang ^{[2
]}

机构：

[1] Department of Photoelectric Information Science and Engineering, School of Science, Jiangnan University, Wuxi

[2] Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences

来源：

Guangxue Xuebao/Acta Optica Sinica | 2014年 / 34卷 / 05期

关键词：

Compressive sensing; Image processing; PIE imaging; Reconstruction algorithm; Sparse;

D O I：

10.3788/AOS201434.0511008

中图分类号：

TN911 [通信理论];

学科分类号：

081002 ;

摘要：

In order to overcome the problem of large amounts of data in PIE imaging, the theory of compressive sensing is adopted for PIE imaging. Diffraction patterns are sparsified and compressed, which can reduce the amount of data requiring save. The original distribution of scattering spot can be reconstructed with subspace persuit (SP) or orthogonal matching pursuit (OMP) tuning algorithm in the retrieval process, then image reconstruction is realized using regular PIE algorithm. Simulation and experimental results show that the images can be reconstructed perfectly when the compression ratio is 30%. SP algorithm is more appropriate than OMP algorithm for PIE imaging.

引用

共 20 条

[1]

Gerchberg R., Super-resolution through error energy reduction, Journal of Modern Optics, 21, 9, pp. 709-720, (1974)

[2]

Fienup J.R., Phase retrieval algorithms: a comparison, Appl Opt, 21, 15, pp. 2758-2769, (1982)

[3]

Williams G.J., Quiney H.M., Dhal B.B., Et al., Fresnel coherent diffractive imaging, Phys Rev Lett, 97, 2, (2006)

[4]

Spence J.C.H., Weierstall U., Howells M., Coherence and sampling requirements for diffractive iamging, Ultramicroscopy, 101, 2-4, pp. 149-152, (2004)

[5]

Rodenburg J.M., Faulkner H.M.L., A phase retrieval algorithm for shifting illumination, Appl Phys Lett, 85, 20, pp. 4795-4797, (2004)

[6]

Faulkner H.M.L., Rodenburg J.M., Movable aperture lensless transmission microscopy: a novel phase retrieval algorithm, Phys Rev Lett, 93, 2, (2004)

[7]

Rodenburg J.M., Ptychography and related diffractive imaging methods, Advances in Imaging and Electron Physics, 150, pp. 87-184, (2008)

[8]

Maiden A.M., Rodenburg J.M., Humphry M.J., Optical ptychography: a practical implementation with useful resolution, Opt Lett, 35, 15, pp. 2585-2587, (2010)

[9]

Maiden A.M., Humphry M.J., Zhang F., Et al., Superresolution imaging via ptychography, Opt Soc Am A, 28, 4, pp. 604-612, (2011)

[10]

Wang B., Gao S., Liu C., Et al., Influence of charge coupled device saturation on PIE imaging, Acta Optica Sinica, 33, 6, (2013)

← 1 2 →