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Real-time implementation of order-statistics-based directional filters

Real-time implementation of order-statistics-based directional filters

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Vector filters based on order-statistics have proved successful in removing impulsive noise from colour images while preserving edges and fine image details. Among these filters, the ones that involve the cosine distance function (directional filters) have particularly high computational requirements, which limits their use in time-critical applications. In this paper, we introduce two methods to speed up these filters. Experiments on a diverse set of colour images show that the proposed methods provide substantial computational gains without significant loss of accuracy.

References

    1. 1)
      • Color image processing and applications
    2. 2)
      • A taxonomy of color image filtering and enhancement solutions
    3. 3)
      • Nonlinear vector filtering for impulsive noise removal from color images
    4. 4)
      • Vector median filters
    5. 5)
      • Vector directional filters: a new class of multichannel image processing filters
    6. 6)
      • Generalized multichannel image filtering structures
    7. 7)
      • The ordering of multivariate data
    8. 8)
      • A modified metric to compute distance
    9. 9)
      • A quasi-Euclidean norm to speed up vector median filtering
    10. 10)
      • Adaptive color image filtering based on center-weighted vector directional filters
    11. 11)
      • Nonlinear processing and analysis of angular signals
    12. 12)
      • Introduction to approximation theory
    13. 13)
      • Three-dimensional median-related filters for color image sequence filtering
    14. 14)
      • A nearest neighbor multichannel filter
    15. 15)
      • Gabbouj, M., Cheikh, F.A.: `Vector median-vector directional hybrid filter for color image restoration', Proc. EUSIPCO'96 Conf., September 1996, Trieste, Italy, p. 879–882
    16. 16)
      • Fuzzy adaptive filters for multichannel image processing
    17. 17)
      • Directional processing of color images: theory and experimental results
    18. 18)
      • Color image filtering by vector directional order-statistics
    19. 19)
      • Adaptive fuzzy order statistics-rational hybrid filters for color image processing
    20. 20)
      • Lukac, R., Smolka, B., Plataniotis, K.N., Venetsanopoulos, A.N.: `Generalized entropy vector filters', Proc. 4th EURASIP EC-VIP-MC, Video, Image Processing and Multimedia Communications Conf., July 2003, Zagreb, Crotia, p. 239–244
    21. 21)
      • Vector sigma filters for noise detection and removal in color images
    22. 22)
      • A generalized problem of least squares
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