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Distance Map Based Enhancement for Interpolated Images

  • PeiFeng Zeng
  • Tomio Hirata
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2616)

Abstract

Distance maps have many applications in computer vision, pattern recognition, morphology and robotics. In this paper, an approach of Distance Map based Image Enhancement (DMIE) is proposed for improving the quality of interpolated images. In DMIE, edge detection is performed after images are interpolated by conventional interpolation schemes. A unidied linear-time algorithm for the distance transform is applied to deal with the calculation of Euclidean distance from pixels to edges in the image. The intensities of pixels that are located around edges are adjusted according to the distance to the edges. DMIE produces a visually pleasing sharpening of edges in interpolated images.

Keywords

Image Enhancement Edge Pixel Black Strip Image Interpolation Bicubic Interpolation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • PeiFeng Zeng
    • 1
  • Tomio Hirata
    • 1
  1. 1.Nagoya UniversityNagoyaJapan

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