确定性矩阵可分离压缩成像
张成, 程鸿, 张芬, 韦穗. 确定性矩阵可分离压缩成像[J]. 光子学报, 2015, 44(3): 0311003.
ZHANG Cheng, CHENG Hong, ZHANG Fen, WEI Sui. Separable Compressive Imaging with Deterministic Matrices[J]. ACTA PHOTONICA SINICA, 2015, 44(3): 0311003.
[1] ROMBERG J. Imaging via compressive sampling[J]. IEEE Signal Processing Magazine, 2008, 25(2): 14-20.
[2] NEIFELD M A, KE J. Optical architectures for compressive imaging[J]. Applied Optics, 2007, 46(22): 5293-5303.
[3] 张成, 程鸿, 张芬, 等. 物理可实现的相位编码压缩成像[J]. 电子学报, 2013, 41(5): 982-986.
ZHANG Cheng, CHENG Hong, ZHANG Fen, et al. Physical realizable phase encoding compressed imaging[J]. Acta Electronica Sinica, 2013, 41(5): 982-986.
[4] 张成, 程鸿, 张芬, 等. 单次曝光频域振幅编码压缩成像[J]. 电子学报, 2014, 42(7): 1262-1267.
ZHANG Cheng, CHENG Hong, ZHANG Fen, et al. Single-exposure frequency-domain amplitude encoding compressive imaging[J]. Acta Electronica Sinica, 2014, 42(7): 1262-1267.
[5] 张成, 杨海蓉, 韦穗. 确定性相位掩膜可压缩双透镜成像[J]. 光子学报, 2011, 40(6): 949-954.
[6] 张成, 杨海蓉, 韦穗. 托普利兹-循环块相位掩膜矩阵压缩成像[J]. 光子学报, 2011, 40(9): 1322-1327.
[7] DONOHO D L. Compressed sensing[J]. IEEE Transactions on Information Theory, 2006, 52(4): 1289-1306.
[8] CANDS E J, ROMBERG J, TAO T. Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information[J]. IEEE Transactions on Information Theory, 2006, 52(2): 489-509.
[9] WILLETT R M, MARCIA R F, NICHOLS J M. Compressed sensing for practical optical imaging systems: a tutorial[J]. Optical Engineering, 2011, 50(7): 072601.
[10] MARIM M, ANGELINI E, OLIVO-MARIN J C, et al. Off-axis compressed holographic microscopy in low-light conditions[J]. Optics Letters, 2011, 36(1): 79-81.
[11] SUI X, CHEN Q, GU G, et al. Infrared super-resolution imaging based on compressed sensing[J]. Infrared Physics & Technology, 2014, 63: 119-124.
[12] DUARTE M F, DAVENPORT M A, TAKHAR D, et al. Single-pixel imaging via compressive sampling[J]. IEEE Signal Processing Magazine, 2008, 25(2): 83-91.
[13] ROMBERG J. Compressive sensing by random convolution[J]. SIAM Journal on Imaging Sciences, 2009, 2(4): 1098-1128.
[14] WAGADARIKAR A, JOHN R, WILLETT R, et al. Single disperser design for coded aperture snapshot spectral imaging[J]. Applied Optics, 2008, 47(10): B44-B51.
[15] RIVENSON Y, STERN A. Compressed imaging with a separable sensing operator[J]. Signal Processing Letters, IEEE, 2009, 16(6): 449-452.
[16] RIVENSON Y, STERN A. Practical compressive sensing of large images[C]. Digital Signal Processing, 2009 16th International Conference on. IEEE, 2009: 1-8.
[17] AUGUST Y, VACHMAN C, RIVENSON Y, et al. Compressive hyperspectral imaging by random separable projections in both the spatial and the spectral domains[J]. Applied Optics, 2013, 52(10): D46-D54.
[18] WANG W, LU D, WANG Y, et al. Intelligent throat polyp detection with separable compressive sensing[J]. EURASIP Journal on Advances in Signal Processing, 2014, 2014(1): 1-6.
[19] SHISHKIN S L, WANG H, HAGEN G S. Total variation minimization with separable sensing operator[M]. Image and Signal Processing. Springer Berlin Heidelberg, 2010: 86-93.
[20] WRIGHT S J, NOWAK R D, FIGUEIREDO M A T. Sparse reconstruction by separable approximation[J]. IEEE Transactions on Signal Processing, 2009, 57(7): 2479-2493.
[21] ROBUCCI R, GRAY J D, CHIU L K, et al. Compressive sensing on a CMOS separable-transform image sensor[J]. Proceedings of the IEEE, 2010, 98(6): 1089-1101.
[22] HAUPT J, BAJWA W U, RAZ G, et al. Toeplitz compressed sensing matrices with applications to sparse channel estimation[J]. IEEE Transactions on Information Theory, 2010, 56(11): 5862-5875.
[23] GUO H T. Rice wavelet toolbox[CP/OL]. http: //dsp.rice.edu/software/ rice-wavelet-toolbox, 2013-01.
[24] VAN DEN BERG E, FRIEDLANDER M P. Probing the Pareto frontier for basis pursuit solutions[J]. SIAM Journal on Scientific Computing, 2008, 31(2): 890-912.
张成, 程鸿, 张芬, 韦穗. 确定性矩阵可分离压缩成像[J]. 光子学报, 2015, 44(3): 0311003. ZHANG Cheng, CHENG Hong, ZHANG Fen, WEI Sui. Separable Compressive Imaging with Deterministic Matrices[J]. ACTA PHOTONICA SINICA, 2015, 44(3): 0311003.