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Adaptive Impulse Noise Filtering by Using Center-Weighted Directional Information

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This paper focuses on color image filtering, where input multichannel samples determined by a 3×3 window are adaptive directional processed in accordance with local image statistics. Thus, to form an estimate, two smoothing characteristics provided by identity filter (IF) and basic vector directional filter (BVDF) can be used. The adaptive alternation of these smoothing characteristics is based on detection criteria, where besides IF and BVDF all another outputs of 3×3 centerweighted vector directional filters (CWVDF) (a class of CWVDF includes both IF and BVDF as special cases with minimal and maximal amount of smoothing) play important role for the determination of corrupted samples. By consideration this determination, only affected multichannel samples are estimated by BVDF, whereas noise free samples are passed through IF.

The proposed method extends possibilities of directional processing and represents excellent tool for impulse noise suppression with simultaneous preservation of color chromaticity, too.
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Document Type: Research Article

Publication date: January 1, 2002

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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