全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
电子学报  2014 

多帧短曝光图像近视解卷积

DOI: 10.3969/j.issn.0372-2112.2014.10.038, PP. 2110-2116

Keywords: 短曝光图像,近视解卷积,频谱比,结构自适应应用滤波器,共轭梯度

Full-Text   Cite this paper   Add to My Lib

Abstract:

本文提出一种频域压缩多帧近视解卷积算法.首先,根据波前传感器获取的大气湍流相位估计短曝光图像的初始点扩展函数,并逐步将点扩展函数调整到准确形式.通过共轭梯度(CG)算法交替解卷积频域代价函数估计目标图像和点扩展函数,为了有效压缩信息量,将图像频谱比增加到代价函数中,同时施加基本约束保证迭代快速收敛于全局最小解,采用结构自适应滤波器(SAAF)达到消除噪声的同时保护重建图像细节.实验结果表明算法能够得到高质量的重建图像,性能优于所对比多帧Tikhonov正则化解卷积和多帧Richardson-Lucy的盲解卷积算法.

References

[1]  饶瑞中.现代大气光学[M].北京:科学出版社,2012.261-300.
[2]  饶瑞中.光在湍流大气中的传输[M].合肥:安徽科学技术出版社,2005.514-522.
[3]  Roggemann M C.Imaging through turbulence[M].CRC Press,Boca Raton,1995.14-92.
[4]  Roggemann M C,Welsh B M.Signal-to-noise ratio for astronomical imaging by deconvolution from wave-front sensing[J].Applied Optics,1994,33(23):5400-5414.
[5]  PrimotJ,Rousset G,et al.Deconvolution from wave-front sensing:A new technique for compensating turbulence-degraded images[J].Journal of the Optical Society of America A,1990,7(9):1598-1608.
[6]  Yitzhaky Y,Dror I,et al.Restoration of atmospherically blurred images according to weather-predicted atmospheric modulation transfer functions[J].Optical Engineering,1997,36(11):3064-3072.
[7]  Buskila K,Towito S,et al.Atmospheric modulation transfer function in the infrared[J].Applied Optics,2004,43(2):471-482.
[8]  Ayers G R,Dainty J C.Iterative blind deconvolution method and its applications[J].Optics Letters,1988,13(7):547-549.
[9]  Schulz T J.Multiframe blind deconvolution of astronomical images[J].Journal of the Optical Society of America A,1993,10(5):1064-1073.
[10]  Frieden B R.An exact,linear solution to the problem of imaging through turbulence[J].Optics Communications,1998,150(1):15-21.
[11]  Hirsch M,Harmeling S,et al.Online multi-frame blind deconvolution with super-resolution and saturation correction[J].Astronomy and Astrophysics,2011,531:A9-A19.
[12]  Zhang J,Zhang Q,et al.Blind deconvolution of a noisy degraded image[J].Applied Optics,2009,48(12):2350-2355.
[13]  Hope D A,Jefferies S M.Compact multiframe blind deconvolution[J].Optics Letters,2011,36(6):867-869.
[14]  Conan J M,Mugnier L M,et al.Myopic deconvolution of adaptive optics images by use of object and point-spread function power spectra[J].Applied Optics,1998,37(21):4614-4622.
[15]  Mugnier L M,Robert C,et al.Myopic deconvolution from wave-front sensing[J].Journal of the Optical Society of America A,2001,18(4):862-872.
[16]  Mugnier L M,Fusco T,et al.MISTRAL:A myopic edge-preserving image restoration method,with application to astronomical adaptive-optics-corrected long-exposure images[J].Journal of the Optical Society of America A,2004,21(10):1841-1854.
[17]  Hom E F Y,Marchis F,et al.AIDA:An adaptive image deconvolution algorithm with application to multi-frame and three-dimensional data[J].Journal of the Optical Society of America A,2007,24(6):1580-1600.
[18]  Laberyrie A.Attainment of diffraction-limited resolution in large telescopes by Fourier analyzing speckle patterns in star images[J].Astron AstroPhys Suppl Ser,1970,6:85-87.
[19]  Paxman R G,Thelen B J,et al.Phase-diverse adaptive optics for future telescopes[A].Proceeding of SPIE the International Society for Optical Engineering[C],San Diego,CA,USA:SPIE press,2007,6711:671103-1-671103-15.
[20]  Dolne J J,Menicucci P,et al.Advanced image processing and wavefront sensing with real-time phase diversity[J].Applied Optics,2009,48(1):A30-A34.
[21]  王岩,梁甸农,等.基于改进正则化方法的SAR 图像增强技术[J].电子学报,2003,31(9):1307-1309. Wang Yan,LIANG Diannong,et al.SAR image enhancement using modified regularization method[J].Acta Electronica Sinica,2003,31(9):1307-1309.(in Chinese)
[22]  Bardsley J M.An efficient phase and object estimation scheme for phase-diversity time series data[J].IEEE Transactions on Image Processing,2008,17(1):9-15.
[23]  宋锐,吴成柯,等.一种新的基于MAP的纹理自适应超分辨率图像复原算法[J].电子学报,2009,37(5):1124-1129. Song Rui,Wu Chengke,et al.A new MAP based texture adaptive super-resolution image[J].Acta Electronica Sinica,2009,37(5):1124-1129.(in Chinese)
[24]  Takeda H,Farsiu S,et al.Robust kernel regression for restoration and reconstruction of images from sparse noisy data[A].IEEE International Conference on Image Processing[C],Atlanta,USA:IEEE,2006,1257-1260.
[25]  乔建苹,刘琚.基于支撑向量机的盲超分辨率图像复原算法[J].电子学报,2007,35(10:1927-1933. QIAO Jianping,LIU Ju.A SVM-Based Blind Super-Resolution Image Restoration Algorithm[J].Acta Electronica Sinica,2007,35(10):1927-1933.(in Chinese)
[26]  LeMaster D A,Cain S C.Multichannel blind deconvolution of polarimetric imagery[J].Journal of the Optical Society of America A,2008,25(9):2170-2176.
[27]  WeijerJ Van De,Vliet L J Van,et al.Curvature estimation in oriented patterns using curvilinear models applied to gradient vector fields[J].IEEE Transactions on Pattern Analysis and Machine Intelligence ,2001,23(9):1035-1042.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133