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An adaptive median filter for colour image processing

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Colour image filtering is not an obvious task when considering rank order filters. In this paper, an original way of setting up a spatially adaptive median filter is described. The proposed methodology is based on the computation of a colour distance map. Such a map allows the estimation of the optimal width of the filtering window at each point of the image to process. The sort of colour vectors, inherent to a median filtering approach, is achieved by using a bit-mixing paradigm. Finally, experimental results reported in this paper show that the proposed method is able to remove noise whereas fine details and edges are preserved. At the same time, the method is computationally efficient and very easy to implement.
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Document Type: Research Article

Publication date: 01 January 2006

More about this publication?
  • Started in 2002 and merged with the Color and Imaging Conference (CIC) in 2014, CGIV covered a wide range of topics related to colour and visual information, including color science, computational color, color in computer graphics, color reproduction, volor vision/psychophysics, color image quality, color image processing, and multispectral color science. Drawing papers from researchers, scientists, and engineers worldwide, DGIV offered attendees a unique experience to share with colleagues in industry and academic, and on national and international standards committees. Held every year in Europe, DGIV papers were more academic in their focus and had high student participation rates.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual papers for details.

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