自适应光学图像事后重建技术研究进展
Research progress on adaptive optical image post reconstruction
查看参考文献46篇
|
文摘
|
为进一步提高自适应光学系统的成像质量,本文针对目前广泛使用的盲解卷积,相位差法和斑点重建技术开展了深入研究;详细分析了以上三种技术的各自特点、应用场景和处理对象,并结合自适应光学系统的特点,有针对性的加以算法改进;实验采用自适应光学人眼视网膜细胞图像和自适应光学太阳黑子图像进行算法验证,结果表明经改进后的图像处理技术可以有效提高自适应光学图像的质量和分辨力,较好的满足了自适应光学系统对图像事后处理的需求。 |
|
其他语种文摘
|
In order to further improve the imaging quality of the adaptive optical system, the widely used image reconstruction technologies at present, including blind deconvolution, phase diversity and speckle imaging, are extensively researched in this paper. The characteristics, application scenes and processing objects of each technology are analyzed in detail and the algorithms are improved reasonably combined with the characteristics of the adaptive optical imaging system. Experimental results of in vivo human retinal cell image and sunspots image, proved that the improved technologies can effectively increase the quality and resolution of adaptive optical images, and satisfy the needs of adaptive optics system for image post-processing. |
|
来源
|
光电工程
,2018,45(3):170730-1-170730-10 【核心库】
|
|
DOI
|
10.12086/oee.2018.170730
|
|
关键词
|
自适应光学
;
图像重建
;
盲解卷积
;
相位差法
;
斑点重建
|
|
地址
|
1.
中国科学院自适应光学重点实验室, 中国科学院自适应光学重点实验室, 四川, 成都, 610209
2.
中国科学院光电技术研究所, 四川, 成都, 610209
3.
中国科学院大学, 北京, 100049
|
|
语种
|
中文 |
|
文献类型
|
综述型 |
|
ISSN
|
1003-501X |
|
学科
|
物理学 |
|
基金
|
国家自然科学基金
|
|
文献收藏号
|
CSCD:6214079
|
参考文献 共
46
共3页
|
|
1.
Babcock H W. The possibility of compensating astronomical seeing.
Publications of the Astronomical Society of the Pacific,1953,65(386):229-236
|
被引
58
次
|
|
|
|
|
2.
姜文汉. 高分辨率自适应望远镜.
国家高技术计划信息领域信息获取与处理技术主体十周年汇报-自适应光学望远镜技术,1996:1-14
|
被引
1
次
|
|
|
|
|
3.
姜文汉. 中国科学院光电技术研究所的A适应光学研究进展.
光学学报,2011,31(9):0900106
|
被引
34
次
|
|
|
|
|
4.
Van Noort M. Solar image restoration by use of multi-frame blind de-convolution with multiple objects and phase diversity.
Solar Physics,2005,228(1/2):191-215
|
被引
5
次
|
|
|
|
|
5.
Ayers G R. Iterative blind deconvolution method and its applications.
Optics Letters,1988,13(7):547-549
|
被引
86
次
|
|
|
|
|
6.
田雨. 波前解卷积方法中的高频噪声抑制.
强激光与粒子束,2007,19(4):593-597
|
被引
3
次
|
|
|
|
|
7.
Gonzalez R C.
Digital image processing,1992
|
被引
58
次
|
|
|
|
|
8.
Kundur D. Blind image deconvolution.
IEEE Signal Processing Magazine,1996,13(3):43-64
|
被引
82
次
|
|
|
|
|
9.
Campisi P.
Blind image deconvolution:theory and applications,2016
|
被引
2
次
|
|
|
|
|
10.
Levin A. Understanding and evaluating blind deconvolution algorithms.
Proceedings of 2009 IEEE Conference on Computer Vision and Pattern Recognition,2009:1964-1971
|
被引
6
次
|
|
|
|
|
11.
Perrone D. A clearer picture of total variation blind deconvolution.
IEEE Transactions on Pattern Analysis and Machine Intelligence,2016,38(6):1041-1055
|
被引
4
次
|
|
|
|
|
12.
Levin A. Efficient marginal likelihood opti-mization in blind deconvolution.
Proceedings of 2011 IEEE Conference on Computer Vision and Pattern Recognition,2011:2657-2664
|
被引
2
次
|
|
|
|
|
13.
Molina R. Blind deconvolution using a variational approach to parameter, image, and blur estimation.
IEEE Transactions on Image Processing,2006,15(12):3715-3727
|
被引
8
次
|
|
|
|
|
14.
Lofdahl M G. Multi-frame blind deconvolution with linear equality constraints.
Proceedings of SPIE. 4792,2002:146-155
|
被引
1
次
|
|
|
|
|
15.
Tian Y. Adaptive optics image restoration based on frame selection and multi-frame blind deconvolution.
Chinese Astronomy and Astrophysics,2009,33(2):223-230
|
被引
5
次
|
|
|
|
|
16.
Tian Y. Hybrid Deconvolution of Adaptive Optics Retinal Images from Wavefront Sensing.
Chinese Physics Letters,2008,25(1):105-107
|
被引
3
次
|
|
|
|
|
17.
李昊. 视网膜图像的解卷积方法研究.
光电子·激光,2010,21(10):1570-1573
|
被引
5
次
|
|
|
|
|
18.
Gonsalves R A. Phase retrieval and diversity in adaptive optics.
Optical Engineering,1982,21(5):829-832
|
被引
43
次
|
|
|
|
|
19.
王欣. 相位变更方法发展简述.
光学技术,2009,35(3):454-460
|
被引
4
次
|
|
|
|
|
20.
Lofdahl M G. Wavefront sensing and image restoration from focused and defocused solar images.
Astronomy and Astrophysics,1994,107:243-264
|
被引
8
次
|
|
|
|
|
了解气象卫星更多信息，请访问