一种数字微镜阵列分区控制和超分辨重建的压缩感知成像法
[1] CANDES E J, WAKIN M B. An introduction to compressive sampling[J]. IEEE Signal Processing, 2008, 25(2): 21-30.
[2] DONOHO D L. Compressed sensing[J]. IEEE Transactions on Information Theory, 2006, 52(4): 1289-1306.
[3] CANDES E J. The restricted isometry property and its implications for compressed sensing[J]. Comptes Rendus Mathematigue, 2008, 346(9-10): 589-592.
[4] CANDES E J, TAO T. Decoding by linear programming[J]. IEEE Transactions on Information Theory, 2005, 51(12): 4203-4215.
[5] SUN Xi-long, YU An-si, DONG Zhen, et al. Three-dimensional SAR focusing via compressive sensing: the case study of angel stadium[J]. IEEE Geoscience and Remote Sensing Letters, 2012, 9(4): 759-763.
[6] YANG Jun-gang, THOMPSON J, HUANG Xiao-tao, et al. Random-frequency SAR imaging based on compressed sensing[J]. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(2): 983-994.
[7] CHEN Jian-wen, CONG J, VESE L A, et al. A hybrid architecture for compressive sensing 3-D CT reconstruction[J]. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2012, 2(3): 616-625.
[8] LINGALA S G, JACOB M. Blind compressive sensing dynamic MRI[J]. IEEE Transactions on Medical Imaging, 2013, 32(6): 1132-1145.
[9] LI Cheng-bo, SUN Ting, KELLY K, et al. A compressive sensing and unmixing scheme for hyperspectral data processing[J]. IEEE Transactions on Image Processing, 2012, 21(3): 1200-1210.
[10] MA Jian-wei. Single-pixel remote sensing[J]. IEEE Geoscience and Remote Sensing Letters, 2009, 6(2): 199-203.
[11] AUGUST Y, VACHMAN C, RIVENSON Y, et al. Stern. Compressive hyperspectral imaging by random separable projections in both the spatial and the spectral domains[J]. Applied Optics, 2013, 52(10): D46-D54.
[12] TAKHAR D, LASKA J N, WAKIN M B, et al. A new compressive imaging camera architecture using optical-domain compression[C]. Proceedings of SPIE: Computational Imaging IV, San Jose, CA, 2006: 43-52.
[13] DUARTE M F, DAVENPOET M A, TAKHAR D, et al. Single-pixel imaging via compressive sampling[J]. IEEE Signal Processing Magazine, [83-91], March 2008.
[14] CHAN Wai-lam, CHARAN K, TAKHAR D, et al. A single-pixel terahertz imaging systems based on compressed sensing[J]. Applied Physics Letters, 2008, 93(12): 121105-121105-3.
[15] CANDES E J, ROMBERG J. Sparsity and incoherence in compressive sampling[J]. Inverse Problems, 2007, 23(3): 969-986.
[16] WANG J, SHIM B. On recovery limit of orthogonal matching pursuit using restricted isometry property[J]. IEEE Transactions on Signal Processing, 2012, 60(9): 4973-4976.
[17] NEEDELL D, WARD R. Stable image reconstruction using total variation minimization[C/OL]. http://arxiv.org/pdf/1202.6429v9.pdf(2013.05.12).
[18] WU Xiao-lin, DONG Wei-sheng, ZHANG Xian-jun, et al. Model-assisted adaptive recovery of compressed sensing with imaging applications[J]. IEEE Transactions on Signal Processing, 2012, 21(2): 451-458.
[19] LIN Zhou-chen, HE Jun-feng, TANG Xiao-ou, et al. Limits of learning based superresolution algorithms[C]. Proceedings of ICCV, 2007: 1-8.
[20] YAND Jian-chao, WRIGHT J, HUANG T S, et al. Image super-resolution via sparse representation[J]. IEEE Transactions on Image Processing, 2010, 19(11): 2861-2873.
刘海英, 李云松, 吴成柯. 一种数字微镜阵列分区控制和超分辨重建的压缩感知成像法[J]. 光子学报, 2014, 43(5): 0510002. LIU Hai-ying, LI Yun-song, WU Cheng-ke. A Method for Compressive Sensing of Images Based on Zone Control of Digital Micromirror Device and Super-resolution[J]. ACTA PHOTONICA SINICA, 2014, 43(5): 0510002.