A regularized multichannel restoration approach for globally optimal high resolution video sequence '

@inproceedings{Hong1997ARM,
  title={A regularized multichannel restoration approach for globally optimal high resolution video sequence '},
  author={Min-Cheol Hong and Moon Gi Kang},
  year={1997}
}
This paper introduces an iterative regularized approach to obtain a high resolution video sequence. A multiple input smoothing convex functional is defined and used to obtain a globally optimal high resolution video sequence. A mathematical model of multiple inputs is described by using the point spread function between the original and bilinearly interpolated images in the spatial domain, and motion estimation between frames in the temporal domain. Properties of the proposed smoothing convex… CONTINUE READING
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Two Dimensional Signal and Image Processing

  • J. S. Lim
  • New York: Prentice-Hall
  • 1990

Fundamentals of Digital Image Processing

  • A. K. Jam
  • New York: Prentice-Hall
  • 1989

Goncharsky, eds., Ill-Posed Problems in the Natural Sciences

  • A.V.A.N. Tikhonov
  • Mathmatics and Mechanics, Moscow: MIR Publishers,
  • 1987

and V

  • M. Bertero, T. A. Poggio
  • Torre, "Ill-posed problems in early vision," Proc…
  • 1316

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