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Original Research Paper

Video enhancement through image registration based on structural similarity

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Pages 238-250 | Received 16 Oct 2010, Published online: 12 Nov 2013

REFERENCES

  • Amintoosi M, Fathy M, Mozayani N. Reconstruction+synthesis: a hybrid method for multi-frame super-resolution, Proc. 5th Iranian Conf. on Machine vision and image processing: MVIP08, Tabriz, Iran, November 2008, Tabriz University, pp. 179–184.
  • Amintoosi M, Fathy M, Mozayani N. Video resolution enhancement in the presence of moving objects, Proc. Int. Conf. on Image Processing, Computer Vision, and Pattern Recognition: IPCV 2009, Las Vegas, NV, USA, July 2009, IEEE Computer Society, pp. 456–460.
  • Amintoosi M, Fathy M, Mozayani N. Image registration based on structural similarity applied to super resolution, Proc. 17th Iranian Conf. on Electrical engineering, Tehran, Iran, May 2009, Iran University of Science and Technology, pp. 401–406 (in Persian).
  • Amintoosi M, Fathy M, Mozayani N. Seamless image fusion using multiband blending and wavelet transform, Proc. 15th Annual National CSI Computer Conf.: CSICC 2010, Tehran, Iran, February 2010, MATN Co. (in Persian). p. 6.
  • Baker S, Kanade T. Hallucinating faces, Proc. 4th IEEE Int. Conf. on Automatic face and gesture recognition 2000: FG 2000, Grenoble, France, March 2000, IEEE Computer Society, p. 83.
  • Baker S, Gross R, Matthews I. Lucas–Kanade 20 years on: a unifying framework. Int. J. Comput. Vision, 2004, 56, 221–255.
  • Borman S. ‘Topics in multiframe superresolution restoration’, PhD thesis, University of Notre Dame, Notre Dame, IN, 2004.
  • Brooks A. What Makes an Image Look Good? [online], March 17 2005. Available at: 〈http://dailyburrito.com/projects/ImageQuality_Brooks2005.pdf〉, Presentation for the Image & Video Processing Lab (IVPL) at Northwestern University for ECE 510 Video Processing, November 19th, 2010.
  • Chang H, Yeung D-Y, Xiong YM. Super-resolution through neighbor embedding, Proc. IEEE Computer Society Conf. on Computer vision and pattern recognition: CVPR 2004, Washington, DC, USA, June–July 2004, Vol. 1, pp. 275–282.
  • Fischler MA, Bolles RC. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun. ACM, 1981, 24, 381–395.
  • Freeman WT, Jones TR, Pasztor EC. Example-based super-resolution. IEEE Comput. Graph. Appl., 2002, 22, 56–65.
  • Hartley RI, Zisserman A. Multiple View Geometry in Computer Vision, 2004, 2nd edition (Cambridge University Press, Cambridge).
  • Irani M, Peleg S. Improving resolution by image registration. CVGIP: Graph. Models Image Process., 1991, 53, 231–239.
  • Keren D, Peleg S, Brada R. Image sequence enhancement using sub-pixel displacement, Proc. IEEE International Conf. on Computer vision and pattern recognition: CVPR ‘88, Ann Arbor, MI, June 1988, IEEE Computer Society, pp. 742–746.
  • Ko S, Lee S, Jeon S, Kang E. Fast digital image stabilizer based on gray-coded bit-plane matching. IEEE Trans. Consum. Electron., 1999, 45, 598–603.
  • Lin Z, Shum HY. Fundamental limits of reconstruction-based superresolution algorithms under local translation. IEEE Trans. Patt. Anal. Mach. Intell., 2004, 26, 83–97.
  • Lowe DG. Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vision, 2004, 60, 91–110.
  • Lucas BD, Kanade T. An iterative image registration technique with an application to stereo vision, Proc. 7th Int. Joint Conf. on Artificial intelligence: IJCAI ‘81, Vancouver, BC, Canada, August 1981, IEEE Computer Soceity, pp. 674–679.
  • Lucchese GM, Cortelazzo L. A noise-robust frequency domain technique for estimating planar roto-translations. IEEE Trans. Signal Process., 2000, 48, 1769–1786.
  • Marcel B, Briot M, Murrieta R. Calcul de translatione trotation par la transformation de fourier. Traite. Signal, 1997, 14, 135–149.
  • Pham TQ. ‘Spatiotonal adaptivity in super-resolution of under-sampled image sequences’, PhD thesis, aan de Technische Universiteit Delft, Delft, The Netherlands, 2006.
  • Sheikh HR, Wang Z, Cormack L, Bovik AC. Live Image Quality Assessment Database Release 2 [online], 2005 (LIVE, Austin, TX). Available at: 〈http://live.ece.utexas.edu/research/quality〉, November 19th, 2010.
  • Szeliski RS. Video mosaics for virtual environments. IEEE Comput. Graph. Appl., 1996, 16, 22–30.
  • Talbi H, Batouche MC. Particle swarm optimization for image registration, Proc. 1st Int. Conf. on Information and communication technologies: from theory to applications: ICTTA ‘04, Damascus, Syria, April 2004, IEEE Computer Society, pp. 397–398.
  • Vandewalle P, Süsstrunk S, Vetterli M. A frequency domain approach to registration of aliased images with application to super-resolution. EURASIP J. Appl. Signal Process., 2006, 2006, 1–14.
  • Wang Z, Bovik A, Sheikh H, Simoncelli E. Image quality assessment: From error visibility to structural similarity. IEEE Trans. Image Process., 2004, 13, 600–612.
  • Wang Z, Lu LG, Bovik AC. Video quality assessment based on structural distortion measurement. Signal Process.: Image Commun., 2004, 19, 121–132.
  • Watanabe K, Iwai Y, Nagahara H, Yachida M, Suzuki T. Video synthesis with high spatio-temporal resolution using motion compensation and spectral fusion. IEICE – Trans. Inf. Syst., 2006, E89-D, 2186–2196.
  • Yuan Z, Yan P, Li S. Super resolution based on scale invariant feature transform, Proc. Int. Conf. on Audio, language and image processing, Shanghai, China, July 2008, ICAD, pp. 1550–1554.
  • Zhao M. ‘Video enhancement using content-adaptive least mean square filters’, PhD thesis, Technische Universiteit Eindhoven, Eindhoven, The Netherlands, 2006.
  • Zomet A, Rav-Acha A, Peleg S. Robust super resolution, Proceedings of the Int. Conf. on Computer vision and patern recognition: CVPR 2001, Kauai, HI, USA, December 2001, pp 645–650.

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