相位差异散斑法图像复原技术

王建立; 汪宗洋; 王斌; 吴元昊; 赵金宇; 李宏壮; 董磊; 张世学

doi:10.3788/OPE.20111905.1165

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相位差异散斑法图像复原技术

信息科学 | 更新时间：2020-08-12

- 相位差异散斑法图像复原技术
- Image restoration by phase-diverse speckle
- 光学精密工程 2011年19卷第5期页码：1165-1170
- 作者机构：
  
  1. 中国科学院长春光学精密机械与物理研究所, 吉林长春 130033
  2. 中国科学院研究生院北京,100039
- 作者简介：
- 基金信息：
  
  国家863高技术研究发展计划资助项目(No.2009AA8080603)()
- DOI：10.3788/OPE.20111905.1165
  中图分类号： TP391.4
- 收稿日期：2010-10-12，
  
  修回日期：2010-10-29，
  
  网络出版日期：2011-05-26，
  
  纸质出版日期：2011-05-26
- 稿件说明：
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王建立, 汪宗洋, 王斌, 吴元昊, 赵金宇, 李宏壮, 董磊, 张世学. 相位差异散斑法图像复原技术[J]. 光学精密工程, 2011,19(5): 1165-1170

WANG Jian-li, WANG Zong-yang, WANG Bin, WU Yuan-hao, ZHAO Jin-yu, DONG Lei, LI Hong-zhuang, ZHANG Shi-xue. Image restoration by phase-diverse speckle[J]. Editorial Office of Optics and Precision Engineering, 2011,19(5): 1165-1170
王建立, 汪宗洋, 王斌, 吴元昊, 赵金宇, 李宏壮, 董磊, 张世学. 相位差异散斑法图像复原技术[J]. 光学精密工程, 2011,19(5): 1165-1170 DOI： 10.3788/OPE.20111905.1165.

WANG Jian-li, WANG Zong-yang, WANG Bin, WU Yuan-hao, ZHAO Jin-yu, DONG Lei, LI Hong-zhuang, ZHANG Shi-xue. Image restoration by phase-diverse speckle[J]. Editorial Office of Optics and Precision Engineering, 2011,19(5): 1165-1170 DOI： 10.3788/OPE.20111905.1165.

摘要

为了克服大气湍流和光学成像系统像差引起的波前相位畸变

提出利用相位差异散斑法同时采集焦面和离焦面通道的单帧短曝光图像来估算波前相位畸变。结合夏克哈特曼波前探测器设计了针对扩展目标的相位差异散斑法高分辨率成像和相位估计对比实验

通过定量移动高精密平移台获得焦面和离焦面图像

并将解算的波前面形与夏克哈特曼波前探测器实测的波前面形进行对比

验证了相位差异散斑法提高图像分辨率和正确解算波前相位的能力。实验结果表明

估算的波前相位面形和夏克哈特曼实测面形趋势有较好的一致性

恢复后图像分辨率提高了12%

表明该方法是大口径光电成像系统较为理想的图像恢复技术之一。

Abstract

In order to overcome the wave-front distortion caused by atmosphere turbulence and optical system aberration

the Phase-Diverse Speckle (PDS) method was used to collect simultaneouslly two or more short-exposure optical images formed by focusing or defocusing to estimate both the object and the wave-front phases.To verify the improvement of image resolution and phase estimation of PDS method

a comparison experiment on high-resolution imaging and phase estimation comparison was carried out based the PDS method and a Shack-Hartmann sensor. By shifting the high accurate translation stage at a certain distance

the focusing and defocusing images were obtained

then the wavefront phase based on the image was camparied with that from the Shack-Hartmann sensor. Experiment results indicate that the estimated wave-front phase is highly according with that detected by Shack-Hartmann and the resolution of the restored image can increase by 12% compared with the origin image formed by focus plane. In conclustion

the proposed method can be used to restore the degradative images in large aperture telescopes.

关键词

Keywords

references

ROGGEMANN M C, WELSH B M. Imaging Through Turbulence[M]. Washington: CRC Press, 1996.[2] 吴元昊,王斌,赵金宇,等. 利用相位差异技术恢复宽带白光图像[J]. 光学精密工程,2010,18(8):1849-1854. WU Y H, WANG B, ZHAO J Y, et al.. Restoration of broadband white light image using phase diversity technique[J]. Opt. Precision Eng., 2010,18(8):1849-1854.[3] PAXMAN R G, SCHULZ T J, FIENUP J R. Joint estimation of object and aberrations by using phase diversity[J]. Opt.Soc.Am., 1992, A9:1072-1085.[4] PAXMAN R G, SELDIN J H, L FDAHL M G, et al.. Evaluation of phase-diversity techniques for solar-image restoration[J]. The Astrophysical Journal,1996,466:1087-1099.[5] THELEN B J, PAXMAN R G, CARRARA D A, et al.. Maximum a posteriori estimation of fixed aberrations, dynamic aberrations, and the object from Phase-diverse speckle data[J]. J.Opt.Soc.Am., 1999,A16:1759-1768.[6] VOGEL C R. Computational Methods for Inverse Problems[M]. Philadelphia: SIAM Press, 2002.[7] VOGEL C R, CHAN T, PLEMMONS R. Fast algorithms for Phase Diversity-Based Blind Deconvolution . Adaptive Optical System Technologies, Kona, Hawaii, USA. SPIE, 1998, 3353: 994-1005.[8] L FDAHL M G, BERGER T E, SHINE R S, et al. Preparation of a dual wavelength sequence of high-resolution solar photospheric images using Phase Diversity[J]. The Astrophysical Journal, 1998,495:965-972.[9] L FDAHL M G, SCHARMER G B. Wave-front sensing and image restoration from focused and defocused solar images[J]. Astron.Astrophys,1994,107:243-264.[10] BYRD R H, LU P, NOCEDAL J, et al.. A limited memory algorithm for bound constrained optimization . Report NAM-08, EECS Department, Northwestern University, 1994.[11] ZHU C, BYRD R H, LU P, et al.. LBFGS-B: Fortran subroutines for large-scale bound constrained optimization . Report NAM-11, EECS Department, Northwestern University, 1994.

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