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基于PSF改进的POCS超分辨率图像重构 被引量:4

POCS Super-resolution Image Reconstruction Based on Improved PSF
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摘要 为了提高重构的图像质量,给出了模拟-修正迭代的凸集投影(POCS)超分辨率图像重构方法和具体实现步骤。针对重构的超分辨率图像高频分量不足的缺点,提出了一种有效的改进方法。该方法通过对点扩散函数(PSF)的改进做到了有效地保留POCS超分辨率图像重构算法中的边沿信息。仿真实验结果表明,该方法可行性好,能够有效地保持高频分量,从而达到提高图像质量的目的。 For the purpose to improve image reconstruction quality, a POCS-based simulation-correction iteration method to reconstruct super-resolution images is described in this paper. A novel method is designed for overcoming the lack of high- frequency component in reconstructed images. The edge information in POCS super-resolution image reconstruction algorithm is kept effectively through the improved PSF. Experimental results show that the proposed algorithm has good feasibility, and can impove the image quality by retaining high frequency component.
出处 《现代电子技术》 2011年第2期75-78,共4页 Modern Electronics Technique
基金 国家文物局和敦煌研究院研究基金资助项目(2009140-22105)
关键词 超分辨率 凸集投影 点扩散函数 高频分量 super resolution projection onto convex set point spread function high-frequency component
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参考文献10

  • 1PARK S C, PARK M K, KANG M G. Super-resolution image reconstruction: a technical review [J]. IEEE Signal Processing Magazine, 2003 (5): 21-36. 被引量:1
  • 2DTARK H, OSKOUI P. High resolution image recovery from image-plane arrays, using convex projections[J].Journal of the Optical Society of America A,1989, 6 : 1715-1726. 被引量:1
  • 3TEKALP M, OZKAN M K, SEZAN M I. High-resolution image reconstruction from lower-resolution image sequences and space varying image restoration [C]// Proceedings of IEEE International Conference on ASSP. San Francisco: IEEE, 1992: 169-172. 被引量:1
  • 4PATTI J, SEZAN M I, TEKALP A M. Super-resolution video reconstruction with arbitrary sampling lattices and nonzero aperture time [J]. IEEE Transactions on Image Processing, 1997, 8 (6): 1064-1076. 被引量:1
  • 5EREN P E, SEZAN M I, TEKALP A M. Robust, object- based high-resolution image reconstruction from low-resolution video [J]. IEEE Transactions on Image Processing, 1997, 10 (6) :1446-1451. 被引量:1
  • 6PARK Sung Cheol, PARK Min Kyu, KANG Moon Gi. Super-resolution Image reconstruction., a technical review [J]. IEEE Signal Processing Magazine, 2003, (5): 21-36. 被引量:1
  • 7LEVIENAISE-OBADIA B, KITTLER J, GRIFFIN A. Analysis of multichannel texture representations from videomosaics[C]// Proc. IEEE Int. Conf. on Multimedia Computing and Systems. Florence, Italy: IEEE, 1999: 695-699. 被引量:1
  • 8雷丽明..超分辨率图像重构算法的研究[D].哈尔滨理工大学,2008:
  • 9洪功义,姜昱明.基于图像配准的POCS超分辨率图像重构[J].计算机仿真,2004,21(6):145-147. 被引量:6
  • 10张地,杜明辉.POCS超分辨率图像重构的快速算法[J].信息技术,2004,28(7):1-3. 被引量:4

二级参考文献14

  • 1[1]R Y Tsai and T S Huang, "Multiframe image restoration and registration"[J]. Advances in Computer Vision and Image Processing. Eds.1984, (1) :317 - 339. 被引量:1
  • 2[2]R R Schultz and R L Stevenson, "Ectraction of high … resolution frames from vedio sequences[J]."IEEE Trans. Image Processing.1996,5(6) :996 - 1011. 被引量:1
  • 3[3]P Cheeseman, B Kanefsky, RKraft, J Stultz and R Hanson, "Super - resolved surface reconstruction from multiple images, [ M ]." NASA Tech. Rep, FIA- 94-12, NASA Ames Res. Ctr. (1994). 被引量:1
  • 4[4]P Oskoui- Fard and H Strak, "Tomographic image reconstruction using the theory of convex projections, [J]. "IEEE Trans. Medical Imaging. 1988,7(1) :45 - 58. 被引量:1
  • 5[5]A J Patti, M I Sezan and A M Tekalp, "High-resolution image reconstruction from lower- resolution image sequences in the presence of time- varying motion blur,[M]." in Proc. ICIP, 1994.343 -347. 被引量:1
  • 6[6]A J Patti, M I Sezan and A M Tekalp, "Robust methods for high quality stills from interlaced video in the presence of dominant motion,[J] ." IEEE Trans. Circuits and Systems for Vedio Technology. 1997,7(2) :328 - 342. 被引量:1
  • 7[7]S Baker and T Kanade, "Limits on super- resolution and how to break them, [ J ]" IEEE Trans. Pattem Analysis and Machine Intelligence.2002,24(9): 1167 - 1183. 被引量:1
  • 8[8]S P Kim, N K Bose, and H M Valenzuela, "Recursive reconstruction of high resolution image from noisy undersampled multiframes, [J] ."IEEE Trans. Acoustics, Speech and Signal Processing. 1990,38(6):1013 - 1027. 被引量:1
  • 9Nguyen.Numerical Algorithms for Image Super-Resolution[D].Stanford University.2000. 被引量:1
  • 10H Andrew,B Hunt.Digital Image Restortion[M].Prentice-Hall,Englewood Cliffs,NJ,1997. 被引量:1

共引文献8

同被引文献25

  • 1李红蕾,凌捷,徐少强.关于图象质量评价指标PSNR的注记[J].广东工业大学学报,2004,21(3):74-78. 被引量:35
  • 2徐宏财,向健勇,潘皓.一种改进的POCS算法的超分辨率图像重建[J].红外技术,2005,27(6):477-480. 被引量:7
  • 3Park S C, Park M K, Kang M G. Super-resolution Image Reconstruction: A Technical Review[J]. IEEE Signal Processing Magazine, 2003, 20(3): 21-35. 被引量:1
  • 4Theodoridis S, Slavakis K, Yamada I. Adaptive Learning in a World of Projections[J]. IEEE Signal Processing Magazine, 2011, 28(1): 97-123. 被引量:1
  • 5Wang Zhou, Bovik A C, Sheikh H R, et al. Image Quality Assessment: From Error Visibility to Structural Similarity[J]. IEEE Transactions on Image Processing, 2004, 13(4): 600-612. 被引量:1
  • 6Ji T L,Sundarenshan M K.Adaptive image contrast enhancement based on human visual properties[J].IEEE Transactions on Medical Imaging(S0278-0062),1994,13(4):573-586. 被引量:1
  • 7Trai R Y,Huang T S.Multi frame Image Restoration and Registration[M]//Huang T S,ed.Advances in Computer Vision and Image Processing.UK:JAI Press Inc,1984:317-339. 被引量:1
  • 8Li X,Orchard M T.New edge-directed interpolation[J].IEEE Trans.Image Proc.,2001,10(10):1521-1527. 被引量:1
  • 9Zhang L,Wu X.An edge-guided image interpolation algorithm via directional filtering and data fusion[J].IEEE Trans.Image Proc.,2006,15(8):2226-2238. 被引量:1
  • 10Muresan D D.Fast edge directed polynomial interpolation[C]//IEEE International Conference on Image Processing.2005,2:990-993. 被引量:1

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