Multidirectional scratch detection and restoration in digitized old images

  • Authors:
  • E. Ardizzone;H. Dindo;G. Mazzola

  • Affiliations:
  • Dipartimento di Ingegneria Informatica, DINFO, Università degli Studi di Palermo, Viale delle Scienze, Palermo, Italy;Dipartimento di Ingegneria Informatica, DINFO, Università degli Studi di Palermo, Viale delle Scienze, Palermo, Italy;Dipartimento di Ingegneria Informatica, DINFO, Università degli Studi di Palermo, Viale delle Scienze, Palermo, Italy

  • Venue:
  • Journal on Image and Video Processing - Special issue on emerging methods for color image and video quality enhancement
  • Year:
  • 2010

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Abstract

Line scratches are common defects in old archived videos, but similar imperfections may occur in printed images, in most cases by reason of improper handling or inaccurate preservation of the support. Once an image is digitized, its defects become part of that image. Many state-of-the-art papers deal with long, thin, vertical lines in old movie frames, by exploiting both spatial and temporal information. In this paper we aim to face with a more challenging and general problem: the analysis of line scratches in still images, regardless of their orientation, color, and shape. We present a detection/restoration method to process this defect.