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超分辨率图像恢复研究综述 被引量:18

An Overview on Super Resolution Image Restoration
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摘要 介绍超分辨率图像恢复的概念、起源、应用和先决条件,以及超分辨率图像恢复包含的图像处理步骤和计算上需要有效处理的两个问题;综述国内外超分辨率图像恢复研究现状,对超分辨率图像恢复的主要方法及空域方法中的主要类别进行评述,并介绍超分辨率图像恢复算法的评价方法;最后对超分辨率图像恢复的研究前景进行展望。 Super resolution image restoration(SR)is a new image processing branch, which restores one bettex image of higher resolu-tion from a degraded image sequence of lower resolution.Algorithms of SR can be used wherever image resolution is not contented and image sequence can be obtained.The concept,craning into beings, applied fields and preconditions of SR are introduced.The involvedimage processes and two actual computation questions of SR are described.Research status of SR at home and abroad are summarized,main types of SR methods,maln sub- types of spatial SR are evaluated,and the evaluation method of SR is introduced.And at last,anattempt is made to give some foreground expectations of SR.
出处 《地理与地理信息科学》 CSCD 北大核心 2006年第3期43-47,共5页 Geography and Geo-Information Science
基金 香港特区政府研究资助局资助项目(CUHK/4180/01E)
关键词 图像分辨率 超分辨率图像 恢复 image resolution super resolution image restoration
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参考文献44

  • 1PARK S C,PARK M K,KANG M G.Super-resolution image reconstruction:A technical overview[J].IEEE Signal Processing Magazine,2003,20(3):21-36.
  • 2ALMANSA A,DURAND S,ROUGE B.Measuring and improving image resolution by adaptation of the reciprocal cell[J].Journal of Mathematical Imaging and Vision,2004,21(3):235-279.
  • 3HARRIES J L.Diffraction and resolving power[J].J.Opt.Soc.Amer.,1999,4(2):105-109.
  • 4LUKOSZ W.Optical systems with resolving power exceeding the classical limit[J].J.Opt.Soc.Amer.,1966,56(11):1463-1472.
  • 5HUANG T S,TSAY R Y.Multiple frame image restoration and registration[A].Huang T S.Advances in Computer Vision and Image Processing[C].Greenwich,CT:JAI,1984,1:317-339.
  • 6ELAD M,FEUER A.Restoration of a single super-resolution image from several blurred,noisy,and under sampled measured images[J].IEEE Transactions on Image Processing,1997,6(12):1646-1658.
  • 7NGUYEN N,MILANFA P,GOLUB G H.Efficient generalized cross-validation with applications to parametric image restoration and resolution enhancement[J].IEEE Transactions on Image Processing,2001,10(9):1299-1308.
  • 8FARSIU S,ROBINSON D,ELAD M,et al.Fast and robust multi-frame super-resolution[J].IEEE Transactions on Image Processing,2004,13(10):1327-1344.
  • 9CHAN T F,WONG C K.Multichannel Image Deconvolution by Total Variation Regularization[C].SPIE,San Diego,1997.358-366.
  • 10ZHAO W Y,SAWHNEY H S,HANSEN M W.Super-Fusion:A Super-Resolution Method Based on Fusion[C].ICPR(2),Quebec,Canada,2002.269-272.

二级参考文献27

  • 1Castleman Keneth R 朱志刚 等.数字图象处理[M].北京:电子工业出版社,1998.146-214.
  • 2普里瓦洛夫 闵嗣鹤等(译).复变函数引论[M].北京:人民教育出版社,1978.297-312.
  • 3吕乃光.傅里叶光学[M].北京:机械出版社,1989.121-129.
  • 4Schultz Richard R, Stevenson Robert L. A bayesian approach to image expansion for improved definition[J]. IEEE Transactons on Image Processing, 1994,3(5):233-242.
  • 5Li Xin, Orchard Michael T. New edge-directed interpolation[ J ]. IEEE Transactions on Image processing, 2001,10 ( 10 )1521-1527.
  • 6Battiato S, Gallo G, Stanco F. A locally-adaptive zooning algorithm for digital images [J]. Image Vision and Computing,2002,20(11) : 80-812.
  • 7Baker S, Kansde T. Hallucinating faces[R]. CMU-RI-TR 99-32, Carnegie Mellon University, 1999.
  • 8Daubeehies I, Ten lectures on wavelets [M]. Montpelier:Capital City Press, 1992.
  • 9Msllat S. A wavelet tour of signal processing[M]. San Diego:Academic Press,1998.
  • 10Crouse Matthew S, Nowak Robert D, Baraniuk Richard G.Wavelet-based statistical signal processing using hidden markov models [J]. IEEE Transactions on Signal Processing, 1998,46(4) : 886- 902.

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