[1] [1] Boult T E, Gao X, Micheals R, et al.. Omnidirectional visual surveillance[J]. Image and Vision Computing, 2004, 22(7): 515-534.

[2] [2] Lopez-Nicolas G, Guerrero J J, Sagues C. Multiple homographies with omni-directional vision for robot homing[J]. Robotics and Autonomous Systems, 2010, 58(6): 773-783.

[3] [3] Lü Bo, Liu Weiqi, Zhang Daliang, et al.. Optical system design of large entrance pupil catadioptric star sensor[J]. Chinese J Lasers, 2014, 41(7): 0716002.

[4] [4] Peng Qimin, Jia Yunde. Wavelet-based resolution enhancement of omnidirectional images[J]. Acta Electronica Sinica, 2005, 32(11): 1875-1879.

[5] [5] Nagahara H, Yagi Y, Yachida M. Resolution improving method from multi-focal omnidirectional images[C] . Proceedings of IEEE International Conference on Image Processing, 2001, 1: 654-657.

[6] [6] Chen Lidong, Wang Wei, Zhang Maojun, et al.. Design analysis of a complementary double mirror catadioptric omnindirectional imaging system[J]. Acta Optica Sinica, 2010, 30(12): 3487-3494.

[7] [7] Chen L D, Lou J T, Zhang M J, et al.. Fusion of complementary catadioptric panoramic images based on nonsubsampled contourlet transform [J]. Optical Engineering, 2011, 50(12): 127002 8 Donoho D L. Compressed sensing[J]. IEEE Transactions on Information Theory, 2006, 52(4): 1289-1306.

[8] [8] Candès 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] [9] Wu Jianrong, Shen Xia, Yu Hong, et al.. Snapshot compressive imaging by phase modulation[J]. Acta Optica Sinica, 2014, 34(10): 1011005.

[10] [10] Lou Jingtao, Tan Shuren, Li Yongle, et al.. Superresolution omnidirectional image reconstruction based on non-uniform measurement [J]. Journal of Optoelectronics·Laser, 2013, 24(12): 2421-2429.

[11] [11] Lou J , Li Y , Liu Y, et al.. Omni-gradient-based total variation minimisation for sparse reconstruction of omni-directional image[J]. IET Image Processing, 2014, 8(7): 397-405.

[12] [12] Lou Jingtao, Li Yongle, Tan Shuren, et al.. Sparse reconstruction for omnidirectional image based on total variation[J]. Acta Electronica Sinica, 2013, 42(2): 243-249.

[13] [13] Zou Mouyan. Deconvolution and signal recovery[M]. Beijing: National Defence Industry Press, 2001.

[14] [14] Candès E J. The restricted isometry property and its implications for compressed sensing[J]. Academic des Sciences, 2008, 346(9): 589- 592.

[15] [15] Bajwa W U, Haupt J D, Raz G M, et al.. Toeplitz-structured compressed sensing matrices[C]. Proceedings of the 2007 IEEE/SP 14th Workshop on Statistical Signal Processing, 2007: 294-298.

[16] [16] Rauhut H, Romberg J, Tropp J A. Restricted isometries for partial random circulant matrices[J]. Applied and Computational Harmonic Analysis, 2012, 32(2): 242-254.

[17] [17] Donoho D L. For most large underdetermined systems of linear equations, the minimal L1 norm solution is also the sparsest solution[J]. Communications on Pure and Applied Mathematics, 2006, 59(6): 797-829.

[18] [18] Marcia R F, Harmany Z T, Willett R M. Compressive coded aperture imaging[C]. Proceedings of the SPIE Electronic Imaging: Computational Imaging VII, 2009.

[19] [19] Zhou C, Lin S, Nayar S K. Coded aperture pairs for depth from defocus and defocus deblurring[J]. International Journal of Computer Vision, 2011, 93(1): 53-72.

[20] [20] Li Yongle, Wang Wei, Lou Jingtao, et al.. Defocus deblurring for catadioptric omnidirectional imaging based on coded aperture[J]. Acta Optica Sinica, 2013, 33(5): 0511004.

[21] [21] Liu Yongchun, Gong Huajun, Shen Chunlin. Research of light field acquisition and reconstruction based on mask[J]. Acta Optica Sinica, 2014, 34(8): 0810001.