计算光场自适应光学成像技术研究

计算光场自适应光学成像技术将目标和干扰的光场进行整体测量，再利用目标与干扰光场的四维光场信息分布特点，通过计算方法将其进行有效地区分、滤除，能在大视角范围内对干扰导致的目标光场波前畸变进行探测复原，并以计算方式自适应地补偿成像空间中的复杂波前像差扰动。与传统自适应光学成像方法相比，该方法具有较大的探测视场，可以直接以扩展目标作为信标进行波前信息解算。本文从传统自适应光学技术面临的挑战出发，简述了计算光场自适应光学成像技术的优势及发展现状，介绍了研究团队在计算光场自适应光学成像方面开展的主要工作。

Abstract

As for computational adaptive plenoptic imaging system, the light-field of the target and interference are measured together, and then according to distribution characteristics of the four-dimensional light-field information between the target and the disturbed factors, target and disturbed factors can be effectively separated. This technique can be used to detect and recover the wavefront distortion caused by interference in the large field of view, and adaptively compensate for complicated wavefront aberration by means of computation. Compared with the traditional adaptive optics imaging method, the proposed method has a larger detecting field of view, and can directly analyze and compute wavefront information based on the extended target.

参考文献

[1] Clare R M, Lane R G. Phase retrieval from subdivision of the focal plane with a lenslet array[J]. Applied Optics, 2004, 43(20): 4080–4087.

[2] Clare R M. Comparison of wavefront sensing using subdivision at the aperture and focal planes[J]. Proceedings of SPIE, 2004: 1211–1222.

[3] Esposito S, Pinna E, Puglisi A, et al. Pyramid sensor for segmented mirror alignment[J]. Optics Letters, 2005, 30(19): 2572–2574.

[4] Esposito S, Riccardi A. Pyramid wavefront sensor behavior in partial correction adaptive optic systems[J]. Astronomy & Astrophysics, 2001, 369(2): L9–L12.

[5] Rodríguez J M, Femenía B, Montilla I, et al. The CAFADIS camera: a new tomographic wavefront sensor for Adaptive Optics[ C]// Adaptative Optics for Extremely Large Telescopes, 2010.

[6] Rodríguez-Ramos J M, Magdaleno Castelló E, Domínguez Conde C, et al. 2D-FFT implementation on FPGA for wavefront phase recovery from the CAFADIS camera[J]. Proceedings of SPIE, 2008, 7015: 701539.

[7] Rodríguez-Ramos J M, Femenía Castellá B, Pérez Nava F, et al. Wavefront and distance measurement using the CAFADIS camera[J]. Proceedings of SPIE, 2008, 7015: 70155Q.

[8] Eduardo M, Manuel R, Manuel R R J. An Efficient Pipeline Wavefront Phase Recovery for the CAFADIS Camera for Extremely Large Telescopes[J]. Sensors, 2010, 10(1): 1.

[9] Rodríguez-Ramos L F, Montilla I, Lüke J P, et al. Atmospherical wavefront phases using the plenoptic sensor (real data)[J]. Proceedings of the SPIE, 2012, 8384: 83840D.

[10] Rodríguez-Ramos L F, Montilla I, Fernández-Valdivia J J, et al. Concepts, laboratory, and telescope test results of the plenoptic camera as a wavefront sensor[J]. Proceedings of SPIE, 2012, 8447: 844745.

[11] Trujillo-Sevilla J M, Fernandez-Valdivia J J, Marichal- Hernandez J G, et al. Plenoptic deconvolution in turbulent scenarios[C]//Information Optics, IEEE, 2014:1–3.

[12] Wu C, Ko J, Davis C C. Imaging through turbulence using a plenoptic sensor[C]//Oceans. International Society for Optics and Photonics, 2015.

[13] 张锐, 杨金生, 田雨,等. 焦面哈特曼传感器波前相位复原[J]. 光电工程, 2013, 40(2): 32–39.

Zhang R，Yang J S，Tian Y, et al. Wavefront Phase Recovery from the Plenoptic Camera[J]. Opto-Electronic Engineering, 2013, 40(2): 32–39.

[14] 许洁平, 梁永辉, 蒋鹏志. 光场相机波前传感器性能分析[J]. 光学学报, 2014, 34(B12): 201001.

Xu J P, Liang Y H, Jiang P Z. Performance analysis of light field wave-front sensor[J]. Acta Optica Sinica, 2014, 34(B12): 201001.

吕洋, 宁禹, 马浩统, 孙全, 张烜喆, 刘文广, 许晓军. 计算光场自适应光学成像技术研究[J]. 光电工程, 2018, 45(3): 180075. Lv Yang, Ning Yu, Ma Haotong, Sun Quan, Zhang Xuanzhe, Liu Wenguang, Xu Xiaojun. Research on computationally adaptive plenoptic imaging[J]. Opto-Electronic Engineering, 2018, 45(3): 180075.

计算光场自适应光学成像技术研究

关于本站 Cookie 的使用提示

全站搜索

计算光场自适应光学成像技术研究

相关论文

相关资讯

关于本站 Cookie 的使用提示

全站搜索