Cosmic-Ray Rejection by Laplacian Edge Detection

By P. V. van Dokkum. 2001

1,325 citations recorded by the source corpus.

Conventional algorithms for rejecting cosmic rays in single CCD exposures rely on the contrast between cosmic rays and their surroundings and may produce erroneous results if the point-spread function is smaller than the largest cosmic rays. This paper describes a robust algorithm for cosmic-ray rejection, based on a variation of Laplacian edge detection. The algorithm identifies cosmic rays of arbitrary shapes and sizes by the sharpness of their edges and reliably discriminates between poorly sampled point sources and cosmic rays. Examples of its performance are given for spectroscopic and imaging data, including Hubble Space Telescope Wide Field Planetary Camera 2 images.

Subfields: Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/cc459087fd78424cbe86fbd3415aad7cc5881624

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

  1. A. Barth
  2. Jenny E. Greene
  3. Alister W. Graham
  4. Luis C. Ho
  5. R. Guzmán
  6. T. Treu
  7. N. Zakamska
  8. Lee R. Spitler

In Electrical and Electronic Engineering

  1. R. Bouwens
  2. P. Oesch
  3. Richard S. Ellis
  4. F. Mannucci
  5. M. Trenti
  6. M. Franx
  7. P. V. van Dokkum
  8. M. Stiavelli

In Radiology, Nuclear Medicine and Imaging

  1. A. Barth
  2. Jenny E. Greene
  3. R. Guzmán
  4. Alister W. Graham
  5. Luis C. Ho
  6. T. Treu
  7. N. Zakamska
  8. Jonelle L. Walsh

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