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Image Salt-Pepper Noise Elimination by Detecting Edges and Isolated Noise Points

  • Gang Li
  • Binheng Song
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3211)

Abstract

It deals an algorithm for removing the impulse noise, which is also called salt-pepper noise, in this paper. By evaluating the absolute differences of intensity between each point and its neighbors, one can detect the edges, the isolated noise points and blocks. It needs to set up a set of simple rules to determine the corrupted pixels in a corrupted image. By successfully identifying the corrupted and uncorrupted pixels, especially for the pixels nearing the edges of a given image, one can eliminate random-valued impulse noise while preserving the detail of the image and its information of the edges. It shows, in the testing experiments, that it has a better performance for the algorithm than the other’s mentioned in the literatures.

Keywords

Mean Square Error Median Filter Impulse Noise Central Pixel Noise Density 
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 2004

Authors and Affiliations

  • Gang Li
    • 1
  • Binheng Song
    • 1
  1. 1.School of SoftwareTsinghua UniversityBeijingP.R. China

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