Multiresolution image gathering and restoration

  • Authors:
  • Carl L. Fales;Friedrich O. Huck;Rachel Alter-Gartenberg;Zia-Ur Rahman

  • Affiliations:
  • NASA Langley Research Center, Hampton, Virginia, 23681, USA;NASA Langley Research Center, Hampton, Virginia, 23681, USA;Department of Mathematics, Old Dominion University, Norfolk, Virginia, 23529, USA;Science and Technology Corporation, Hampton, Virginia, 23666, USA

  • Venue:
  • Journal of Visual Communication and Image Representation
  • Year:
  • 1992

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Abstract

In this paper we integrate multiresolution decomposition with image gathering and restoration. This integration leads to a Wiener-matrix filter that accounts for the aliasing, blurring, and noise in image gathering, together with the digital filtering and decimation in signal decomposition. Moreover, as implemented here, the Wiener-matrix filter completely suppresses the blurring and raster effects of the image-display device. We demonstrate that this filter can significantly improve the fidelity and visual quality produced by conventional image reconstruction. The extent of this improvement, in turn, depends on the design of the image-gathering device.