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超分辨率复原方法相关原理研究

陈健 高慧斌 王伟国 张振东 路明

陈健, 高慧斌, 王伟国, 张振东, 路明. 超分辨率复原方法相关原理研究[J]. 中国光学(中英文), 2014, 7(6): 897-910. doi: 10.3788/CO.20140706.0897
引用本文: 陈健, 高慧斌, 王伟国, 张振东, 路明. 超分辨率复原方法相关原理研究[J]. 中国光学(中英文), 2014, 7(6): 897-910. doi: 10.3788/CO.20140706.0897
CHEN Jian, GAO Huibin, WANG Weiguo, ZHANG Zhendong, LU Ming. Correlation theory of super-resolution restoration method[J]. Chinese Optics, 2014, 7(6): 897-910. doi: 10.3788/CO.20140706.0897
Citation: CHEN Jian, GAO Huibin, WANG Weiguo, ZHANG Zhendong, LU Ming. Correlation theory of super-resolution restoration method[J]. Chinese Optics, 2014, 7(6): 897-910. doi: 10.3788/CO.20140706.0897

超分辨率复原方法相关原理研究

doi: 10.3788/CO.20140706.0897
基金项目: 

吉林省重大科技攻关资助项目(No.20126015)

详细信息
    作者简介:

    高慧斌(1963- ), 男, 吉林长春人, 研究员, 博士生导师, 1985年、1990年于吉林工业大学分别获得学士、硕士学位, 主要从事光电测量和精密跟踪控制技术方面的研究.E-mail:gaohuibin1@163.com

  • 中图分类号: TP751.1

Correlation theory of super-resolution restoration method

  • 摘要: 介绍了超分辨率复原方法的概念和理论基础;重点总结了常用的超分辨率复原方法,并对相关的理论依据、优缺点和适用范围进行了详尽分析;对超分辨率复原方法的未来发展进行了展望.超分辨率复原方法分为频域法和空域法.频域复原法原理简单清楚,计算方便,但是所建立的运动模型都是平移模型,不具有一般性,同时难以利用正则化约束,因而导致难以使用图像的先验信息进行超分辨率复原.空域复原法可以很方便地建立复杂的运动模型,同时考虑了几乎所有的图像降质因素,例如噪声、降采样、由非零孔径时间造成的模糊、光学系统降质和运动模糊等,还可以加入更完善的先验知识,相比于频域复原法,空域超分辨率复原模型更符合实际的图像退化过程,是目前应用最广泛的一类超分辨率复原方法.

     

  • [1] 李衍达,常迥.信号重构理论及其应用[M]. 北京:清华大学出版社, 1991. LI Y D,CHANG J. Signal Reconstruction Theory and Its Application[M]. Beijing:Tsinghua University Press,1991.(in Chinese)
    [2] KIM S P,SU W Y. Recursive high-resolution reconstruction of blurred multi-frame images[J]. IEEE,1993,2(4):534-539.
    [3] KIM S P,BOSE N K,VALENZUELA H M. Recursive reconstruction of high resolution image from noisy under sampled multiframes[J]. IEEE,1990,38(6):1013-1027.
    [4] SU W,KIM S P. High-resolution restoration of dynamic image sequences[J]. International J. Imaging Systems and Technology,1994,5(4):330-339.
    [5] BOSE N K,KIM H C. Recursive implementation of total least squares algorithm for image reconstruction from noisy, under sampled multiframes[J]. IEEE,1993,1:269-272.
    [6] DAVILA C E. Recursive total least squares algorithms for adaptive filtering[J]. IEEE,1991,3:1853-1856.
    [7] KEREN D,PELEG S,BRADA R. Image sequence enhancement using sub-pixel displacements[J]. IEEE,1988,1:742-746.
    [8] AIZAWA K,KOMATSU T,SAITO T. Acquisition of very high resolution images using stereo cameras[J]. IEEE,1991,1:318-328.
    [9] TEKALP A M,OZKAN M K,et al.. High-resolution image reconstruction from lower-resolution image sequences and space-varying image restoration[J]. IEEE,1992,3:169-172.
    [10] NGUYEN N,MILANFAR P. A wavelet-based interpolation-restoration method for super-resolution[J]. Circuits Systems Signal Process,2000,19(4):321-338.
    [11] ELAD M,FEUER A. Super-resolution restoration of an image sequence:adaptive Filtering approach[J]. IEEE,1999,8(3):387-395.
    [12] ALAM M S,BOGNAR J G,HARDIE R C,et al.. Infrared image registration and high-resolution reconstruction using multiple translationally shifted aliased video frames[J]. IEEE,2000,49(5):915-923.
    [13] IRANI M,PELEG S. Improving resolution by image registration[J]. CVGIP:Graphical Models and Image Processing,1991,53:231-239
    [14] 郭伟伟,章品正. 基于迭代反投影的超分辨率图像重建[J]. 计算机科学与探索,2009,3(3):321-329. GUO W W,ZHANG P ZH. Super-resolution image reconstruction with iterative back projection algorithm[J]. J. Frontiers of Computer Science and Technology,2009,3(3):321-329.(in Chinese)
    [15] 覃凤清,何小海,陈为龙,等. 一种基于子像素配准视频超分辨率重建方法[J]. 光电子·激光,2009,20(7):972-976. TAN F Q,HE X H,CHEN W L,et al.. A video super-resolution reconstruction method based on sub-pixel registration[J]. J. Optoelectronics Laser,2009,20(7):972-976.(in Chinese)
    [16] 张永育,李翠华,余礼钹,等. 基于Keren改进配准算法的IBP超分率重建[J]. 厦门大学学报(自然科学版),2012,51(4):686-69. ZHANG Y Y,LI C H,YU L B,et al.. IBP super-resolution reconstruction based on improvement approach of Keren registration method[J]. J. Xiamen University,2012,51(4):686-69.
    [17] MAAN S,PICARD R W. Virtual bellows: Constructing high quality stills from video. Proc. of International Conference on Image Processing,Austin,TX,1994,1:363-367.
    [18] TOM B C,KATSAGGELOS A K. Resolution enhancement of video sequences using motion compensation. Proc of IEEE Int. Conf Image Processing,Lausanne,Switzerland,1996,1:713-716.
    [19] YOULA D C,WEBB H. Image restoration by the method of convex projections: part I,theory[J]. IEEE,1982,2:81-94.
    [29] STARK H,OSKOUI P. High resolution image recovery from image-plane arrays, using convex projection[J]. JOSA A,1989,6:1715-1726.
    [21] 黄华,孔玲莉,齐春,等. 基于凸集投影和线过程模型的超分辨率图像重建[J].西安交通大学学报,2003,37(10):1059-1062. HUANG H,KONG L L,QI CH,et al.. Super-resolution image reconstruction based on projections onto convex sets and line process modeling[J]. J. Xi'an Jiaotong University,2003,37(10):1059-1062.(in Chinese)
    [22] 肖创柏,段娟,禹晶. 序列图像的POCS超分辨率重建方法[J]. 北京工业大学学报,2009,35(1):108-113. XIAO CH B,DUAN J,YU J. POCS super-resolution reconstruction from image sequences[J]. J. Beijing University of Technology,2009,35(1):108-113.(in Chinese)
    [23] PATTI J,SEZAN M,TEKALP A M. High-resolution image reconstruction from a low-resolution image sequence in the presence of time-varying motion blur. Proc IEEE Int. Conf. Image Processing, Austin,TX,1994,1:343-347.
    [24] PATTI J,SEZAN M,TEKALP A M. Super-resolution video reconstruction with arbitrary sampling lattices and nonzero aperture time[J]. IEEE,1997,6(8):1064-1076.
    [25] PATTI J,SEZAN M,TEKALP A M. Robust methods for high-quality stills from interlaced video in the presence of dominant motion[J]. IEEE,1997,7(2):328-342.
    [26] SCHULTZ R R,STEVENSON R L. A Bayesian approach to image expansion for improved definition [J]. IEEE,1994,3(3):233-241.
    [27] HARDIE R C,BARNARD K J,ARMSTRONG E E. Joint MAP registration and high-resolution image estimation using a sequence of under-sampled images[J]. IEEE,1997,6(12):1621-1633.
    [28] 鲜海莹,傅志中,万群,等. 基于非冗余信息的超分辨率算法[J]. 电波科学学报,2012,27(2):216-221. XIAN H Y,FU ZH ZH,WAN Q,et al.. Super resolution algorithm based on non-redundant information[J]. Chinese J. Radio Science,2012,27(2):216-221.(in Chinese)
    [29] 王静,章世平,孙权森,等. 基于MAP估计的遥感图像频域校正超分辨率算法[J]. 东南大学学报,2010,40(1):84-88. WANG J,ZHANG SH P,SUN Q S,et al.. MAP based remote sensing image super-resolution with frequency domain correction[J]. J. Southeast University,2010,40(1):84-88.(in Chinese)
    [30] ELAD M,FEUER A. Restoration of a single super-resolution image from several blurrd, noisy and under sampled measured images[J]. IEEE,1997,6(12):1646-1658.
    [31] HONGJIU T,XINJIAN T,JIAN L,et al. Super resolution remote sensing image processing algorithm based on wavelet transform and interpolation[J]. SPIE,2003,4898:259-263.
    [32] HERTZMANN A,ANALOGIES A. Computer Graphics[M]. New York:Siggraph,ACM Press,2001.
    [33] BAKER S,KANADE T. Limits on super-resolution and how to break them[J]. IEEE,2000,1:372-379.
    [34] GUNTURK B K,ALTUNBASAK Y,MERSEREAU R M. Multiframe resolution enhancement methods for compressed video[J]. Signal Processing Letters,2002,9:170-174.
    [35] 陈健. 基于POCS的红外弱小目标超分辨率复原算法研究.长春:中国科学院大学,2014. CHEN J. Research on infrared dim-small target super-resolution restoration arithmetic based on POCS. Changchun:University of Chinese Academy of Sciences,2014.(in Chinese)

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出版历程
  • 收稿日期:  2014-10-01
  • 修回日期:  2014-11-06
  • 刊出日期:  2014-11-25

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