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Switching median filter with a local entropy control

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper presents a new switching median filter utilising local contrast entropy of the samples inside the filtering window. The proposed method is fully adaptive, it requires no optimisation and eliminates the main disadvantages of the local contrast probability based switching median. Excellent performance of the proposed method is a result of the successful analysis of input samples, as the local contrast entropy concept is able to efficiently differentiate between outliers and desired edge samples.
Rocznik
Tom
Strony
MI39--46
Opis fizyczny
Bibliogr. 14 poz., rys., tab.
Twórcy
autor
  • Slovak Image Processing Center, Jarkova 343, 049 25 Dobsina, Slovak Republic
autor
autor
autor
Bibliografia
  • [1] ASTOLA, J., KUOSMANEN, P., Fundamentals of Nonlinear Digital Filtering. CRC Press, 1997.
  • [2] BERSTAIN, R., Adaptive Nonlinear Filters for Simultaneous Removal of Different Kinds of Noise in Images. IEEE Transactions on Circuit and Systems, Vol. Cas-34, No. 11, pp. 1275-1291, November 1987.
  • [3] BEGHDADI, A., KHELLAF, K. A Noise-Filtering Method Using a Local Information Measure. IEEE Transactions on Image Processing, Vol. 6, No. 6, pp. 879-882, June 1997.
  • [4] CHEN, K., Bit-Serial Realizations of a Class of Nonlinear Filters Based on Positive Boolean Functions. IEEE Transactions on Circuits and Systems, Vol. 36, No. 6, 785-794, June 1989.
  • [5] CHEN, T., WU, H.R., Adaptive Impulse Detection Using Center-Weighted Median Filters. IEEE Signal Processing Letters, Vol. 8, No. 1, 1-3, January 2001.
  • [6] LUKAC, R., MARCHEVSKY, S., LUM Smoother with Smooth Control for Noisy Image Sequences. EURASIP Journal on Applied Signal Processing, Vol. 2001, No. 2, pp. 110-120, June 2001.
  • [7] LUKAC, R., MARCHEVSKY, S., Boolean Expression of LUM Smoothers. IEEE Signal Processing Letters, Vol. 8, No. 11, pp. 292-294, November 2001.
  • [8] LUKAC, R., Binary LUM Smoothing. IEEE Signal Processing Letters, Vol. 9, No. 12, pp. 400-4003, December 2002.
  • [9] MITRA, S.J., SICURANZA, G.L., Nonlinear Image Processing. Academic Press, 2001.
  • [10] PELTONEN, S., GABBOUJ, M., ASTOLA, J., Nonlinear Filter Design: Methodologies and Challenges. Proceedings of ISPA'01 in Pula, Croatia, pp. 102-106, June 2001.
  • [11] PITAS, I., VENETSANOPOULOS, A.N., Nonlinear Digital Filters, Principles and Applications. Kluwer Academic Publishers, 1990.
  • [12] PITAS, I., VENETSANOPOULOS, A.N., Order Statistics in Digital Image Processing. Proceedings of the IEEE, Vol. 80, No. 12, pp. 1892-1919, December 1992.
  • [13] SMOLKA, B., LUKAC, R., Adaptive Impulse Detection Based Approaches for the Noise Reduction in Heart Image Sequences. Journal of Medical Informatics & Technologies, Vol. 3, pp. MI-21 - MI-30, November 2002.
  • [14] YIN, L., YANG, R., GABBOUJ, M., NEUVO, Y., Weighted Median Filters: A Tutorial. IEEE Transactions on Circuits and Systems II, Vol. 43, No. 3, pp. 157-192, March 1996.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA4-0019-0007
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