Parallel Implementation of 2-Dimensional Toeplitz Solver on MasPar with Applications to Image Restoration

  • Authors:
  • Kin-wai Mak;Raymond H. Chan

  • Affiliations:
  • -;-

  • Venue:
  • HPC-ASIA '97 Proceedings of the High-Performance Computing on the Information Superhighway, HPC-Asia '97
  • Year:
  • 1997

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Abstract

Image restoration problems can be transformed into problems of solving a linear system Tx=b where T is a block-Toeplitz or near-block-Toeplitz matrix. However, for many of these problems, the size of the matrix T is usually very large. For instance, if we are going to manipulate a 1024-by-1024 pixel image, then T will be of the order 1024^{2}-by-1024^{2}. In this paper, we implement a parallel version of our existing 2-Dimensional Toeplitz solver in a data-parallel fashion on MasPar (DECmpp) by fully utilizing its massively parallel processing power. The package we developed is portable and easy-to-use. We will demonstrate how to use our package to recover a satellite image which is blurred by atmospheric turbulence. The implementation details and performance results will also be presented.