Superresolution Using Preconditioned Conjugate Gradient Method

نویسندگان

  • Changjiang Yang
  • Ramani Duraiswami
  • Larry Davis
چکیده

In this paper we present a fast iterative image superresolution algorithm using preconditioned conjugate gradient method. To avoid explicitly computing the tolerance in the inverse filter based preconditioner scheme, a new Wiener filter based preconditioner for the conjugate gradient method is proposed to speed up the convergence. The circulant-block structure of the preconditioner allows efficient implementation using Fast Fourier Transform. Effectiveness of the preconditioner is demonstrated by superresolution results for simulated image sequences.

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تاریخ انتشار 2002