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Original Articles

A pioneering video-to-video super-resolution reconstruction algorithm based on segmentation and space–time regularisation

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Pages 236-250 | Received 31 Jan 2012, Accepted 21 Dec 2012, Published online: 06 Dec 2013

References

  • Canel G., Tekalp A. M. and Heinzelman W. Super resolution recovery for multi camera surveillance imaging, Proc. Int. Cong. on Multimedia and expo: ICME 2003, Washington, DC, USA, July 2003, IEEE Computer Society, Vol. 2, pp. 109–112.
  • Shechtman E., Caspi Y. and Irani M.. Space–time super-resolution. IEEE Trans. Pattern Anal. Mach. Intell., 2005, 27, 531–544.
  • Mudenagudi U., Banerjee S. and Kalra P. K.. Space–time super-resolution using graph-cut optimization. IEEE Trans. Pattern Anal. Mach. Intell., 2011, 33, 995–1008.
  • Agrawal A., Gupta M. and Veeraraghavan A. Optimal coded sampling for temporal super resolution, Proc. IEEE Conf. on Computer vision and pattern recognition: CVPR 2010, San Francisco, CA, USA, June 2010, IEEE Computer Society, pp. 599–606.
  • Chen W. L., He X. H., Song H. Y. and Wu W.. An improved sequence-to-sequence alignment method combined with feature-based image registration algorithm. J. Inf. Sci. Eng., 2012, 28, 617–630.
  • Song H. Y., He X. H., Chen W. L. and Sun Y. Y.. A space–time super-resolution algorithm of video sequence. J. Beijing Univ. Posts Telecommun., 2011, 34, 85–88.
  • Irani M. and Peleg S.. Improving resolution by image registration. CVGIP: Graph. Models Image Process., 1991, 53, 231–239.
  • Capel D. and Zisserman A. Super-resolution enhancement of text image sequences, Proc. 15th Int. Conf. on Pattern recognition: ICPR 2000, Barcelona, Spain, December 2000, IEEE Computer Society, Vol. 1, pp. 600–605.
  • Capel D. P.. ‘Image mosaicing and super-resolution’, PhD thesis, University of Oxford, Oxford, UK, 2001.
  • Shechtman E.. ‘Space–time super-resolution in video’, PhD thesis, Weizmann Institute of Science, Rehovot, Israel, 2003.
  • Li C. M., Xu C. Y., Gui C. F. and Fox M. D. Level set evolution without re-initialization: a new variational formulation, Proc. 2005 IEEE Computer Society Conf. on Computer vision and pattern recognition: CVPR 2005, San Diego, CA, USA, June 2005, IEEE Computer Society, pp. 430–436.
  • Yao W., Hu M. H. and Qin H.. An improved image mosaic algorithm of feature point matching. Infrared Technol., 2010, 32, 288–290.
  • Han Y. B.. ‘Super-resolution of image and sequence video’, PhD thesis, The University of East-North, Shenyang, China, 2006.
  • Farsiu S., Robinson M. D. and Elad M.. Fast and robust multi-frame super resolution. IEEE Trans. Image Process., 2004, 13, 1327–1344.
  • Farsiu S., Robinson D. and Elad M.. Robust shift and add approach to super-resolution. Proc. SPIE, 2003, 5203, 121–130.

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