基于压缩感知理论的PIE显微成像研究
[1] R Gerchberg. Super-resolution through error energy reduction [J]. Journal of Modern Optics, 1974, 21(9): 709-720.
[2] J R Fienup. Phase retrieval algorithms: a comparison [J]. Appl Opt, 1982, 21(15): 2758-2769.
[3] G J Williams, H M Quiney, B B Dhal, et al.. Fresnel coherent diffractive imaging [J]. Phys Rev Lett, 2006, 97(2): 025506.
[4] J C H Spence, U Weierstall, M Howells. Coherence and sampling requirements for diffractive iamging [J]. Ultramicroscopy, 2004, 101(2-4): 149-152.
[5] J M Rodenburg, H M L Faulkner. A phase retrieval algorithm for shifting illumination [J]. Appl Phys Lett, 2004, 85(20): 4795-4797 .
[6] H M L Faulkner, J M Rodenburg. Movable aperture lensless transmission microscopy: a novel phase retrieval algorithm [J]. Phys Rev Lett, 2004, 93(2): 023903.
[7] J M Rodenburg. Ptychography and related diffractive imaging methods [J]. Advances in Imaging and Electron Physics, 2008, 150: 87-184.
[8] A M Maiden, J M Rodenburg, M J Humphry. Optical ptychography: a practical implementation with useful resolution [J]. Opt Lett, 2010, 35(15): 2585-2587.
[9] A M Maiden, M J Humphry, F Zhang, et al.. Superresolution imaging via ptychography [J]. Opt Soc Am A, 2011, 28(4): 604-612.
[10] 王宝升, 高淑梅, 刘诚, 等. 电荷耦合器件饱和效应对PIE成像质量的影响[J]. 光学学报, 2013, 33(6): 0611001.
[11] 潘兴臣, 林强, 刘诚, 等. 相干性对PIE成像方法的影响[J]. 中国科学: 物理学力学天文学, 2012, 42(9): 889-898.
Pan Xingchen, Lin Qiang, Liu Cheng, et al.. Influence of the partial coherence to the PIE imaging method [J]. Scientia Sinica Phutial, Mechanica & Astronomica, 2012, 42(9): 889-898.
[12] J N Cederquist, J R Fienup, J C Marron, et al.. Phase retrieval from experimental far-field speckle data [J]. Opt Lett, 1988, 13(8): 619-621.
[13] 黄利新, 姚新, 蔡东梅, 等. 一种快速高精度的相位恢复迭代法[J]. 中国激光, 2010, 37(5): 1218-1221.
[14] E J Candès, J Romberg, T Tao. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information [J]. IEEE Transaction on Information Theory, 2006, 52(2): 489-509.
[15] E J Candès, J Romberg. Quantitative robust uncertainty principles and optimally sparse decompositions [J]. Foundations of Computational Mathematics, 2006, 6(2): 227-254.
[16] D Donoho. Compressed sensing [J]. IEEE Transactions on Information Theory, 2006, 52 (4):1289-1306.
[17] V Goyal, A Fletcher, S Rangan. Compressive sampling and lossy compression [J]. IEEE Signal Processing Magazine, 2008, 25(2): 48-56.
[18] D L Donoho, Y Tsaig. Extensions of compressed sensing [J]. Signal Processing, 2006, 86(3): 549-571.
[19] J A Tropp, A C Gilbert. Signal recovery from random measurements via orthogonal matching pursuit [J]. IEEE Transactions on Information Theory, 2007, 53(12): 4655-4666.
[20] Wei Dai, O Milenkovic. Subspace pursuit for compressive sensing signal reconstruction [J]. IEEE Transactions on Information Theory, 2009, 55(5): 2230-2249.
何靖, 刘诚, 高淑梅, 王继成, 王跃科, 朱健强. 基于压缩感知理论的PIE显微成像研究[J]. 光学学报, 2014, 34(5): 0511008. He Jing, Liu Cheng, Gao Shumei, Wang Jicheng, Wang Yueke, Zhu Jianqiang. Microscopic PIE Imaging With Theory of Compressive Sensing[J]. Acta Optica Sinica, 2014, 34(5): 0511008.