A Comparison of Median Filter Techniques For Noise Removal in Color Images

نویسندگان

  • D. Paulus
  • J. Denzler
  • Andreas Koschan
  • Mongi Abidi
چکیده

Noise removal or noise suppression is an important task in image processing. In general, the results of the noise removal have a strong influence on the quality of the following image processing techniques. Several techniques for noise removal are well established in gray value image processing. However, it is not easy to adapt these techniques to color image processing. The median filter is often applied to gray value images due to its property of edge preserving smoothing. Extending the median operator to color images is not a simple task since the color vectors have to be sorted according to an order. In this paper, we discuss seven different approaches to median filters for color images. Furthermore, we present results for three selected techniques and we compare the results for these techniques.

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تاریخ انتشار 2001