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On the adaptive impulsive noise removal in color images

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Języki publikacji
EN
Abstrakty
EN
In this paper a novel adaptive filtering scheme for impulsive noise removal in colour images is presented. The noise detection algorithm is based on the concept of aggregated distances assigned to the pixels belonging to the filtering window. The value of the difference between the accumulated distance assigned to the central sample and to the pixel with the lowest rank, serves as an indicator of the presence of impulses injected into the image by the noise process. The output of the proposed filter is a weighted mean of the central pixel of the filtering window and the vector median of its samples. The obtained results show that the proposed filter outperforms existing impulse noise removal techniques for low noise contamination and can be used in various applications in which the detail preserving reduction of impulses play an important role.
Rocznik
Tom
Strony
23--29
Opis fizyczny
Bibliogr. 8 poz., rys., tab.
Twórcy
autor
  • Silesian University of Technology, Dept. of Automatic Control, Akademicka 16, 44-100 Gliwice, Poland
Bibliografia
  • [1] PLATANIOTIS K.N., VENETSANOPOULOS A.N., Color Image Processing and Application, Springer Verlag, August 2000.
  • [2] ASTOLA J., HAAVISTO P., NEUVO Y., Vector median filters. Proc. of the IEEE, vol. 78, no. 4, pp. 678-689, 1990.
  • [3] LUKAC R., SMOLKA B., MARTIN K., PLATANIOTIS K.N., VENETSANOPOULOS A.N., Vector filtering for color imaging. IEEE Signal Processing Magazine, Special Issue on Color Image Processing, Vol. 22, No. 1, pp. 74-86, 2005.
  • [4] SMOLKA B., PLATANIOTIS K.N., VENETSANOPOULOS A.N., Nonlinear techniques for color image processing, in NonlinearSignal and Image Processing: Theory, Methods, and Applications, pp. 445-505, CRC Press, 2004.
  • [5] SMOLKA B., VENETSANOPOULOS A.N., Noise reduction and edge detection in color images, in Color Image Processing:Methods and Applications, pp. 75-100, CRC Press, 2006.
  • [6] LEE J.S., Digital image enhancement and noise filtering by use of local statistics. IEEE Trans. on PAMI, Vol. 2, No. 2, 165-168, 1980.
  • [7] KUAN D.T., SAWCHUK A.A., STRAND T.C., CHAVEL P., Adaptive noise smoothing filter for images with signal-dependent noise. IEEE Trans on PAMI, Vol. 7, No. 2, pp. 165-177, 1985.
  • [8] CELEBI M.E, KINGRAVI H.A., ASLANDOGAN Y.A., Nonlinear vector filtering for impulsive noise removal from color images, Journal of Electronic Imaging, Vol. 16, No. 3, 2007, pp. 033008.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA4-0002-0007
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