Abstract
The classical vector median filter (VMF) has been widely used to remove impulse noise from color images. However, since the VMF cannot identify thin lines during the denoising process, many thin lines may be removed out as noise. This serious problem can be solved by a newly proposed filter that uses a noise detector to find these thin lines and then keep them unchanged. In this new approach, the noise detection scheme applied on a current processed pixel is realized through counting the close pixels in its eight neighbor positions and the expanded window to see whether the current pixel is corrupted by impulse noise. Based on the previous outputs, our algorithm can increase the performance in detecting and canceling the impulse noise. Extensive experiments indicate that this approach can be used to remove the impulse noise from a color image without distorting the useful information.
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References
Astola, J., Haavisto, P., Neuvo, Y., 1990. Vector median filter. Proc. IEEE, 78(4):678–689. [doi:10.1109/5.54807]
Camarena, J.G., Gregori, V., Morillas, S., Sapena, A., 2008. Fast detection and removal of impulsive noise using peer groups and fuzzy metrics. J. Vis. Comm. Image Represent., 19(1):20–29. [doi:10.1016/j.jvcir.2007.04.003]
Celebi, M.E., Kingravi, H.A., Aslandogan, Y.A., 2007. Nonlinear vector filtering for impulsive noise removal from color images. J. Electron. Imag., 16(3):033008. [doi:10.1117/1.2772639]
Chen, T., Wu, H.R., 2001. Space variant median filters for the restoration of impulse noise corrupted images. IEEE Trans. Circ. Syst. II: Anal. Dig. Signal Process., 48(8): 784–789. [doi:10.1109/82.959870]
Gonzalez, R.C., Woods, R.E., 2001. Digital Image Processing (2nd Ed.). Prentice-Hall, Englewood Cliffs, NJ.
Hwang, H., Haddad, R.A., 1995. Adaptive median filters: new algorithms and results. IEEE Trans. Signal Process., 4(4): 499–502. [doi:10.1109/83.370679]
Jin, L.H., Li, D.H., 2007. A switching vector median filter based on the CIELAB color space for color image restoration. Signal Process., 87(6):1345–1354. [doi:10.1016/j.sigpro.2006.11.008]
Karakos, D.G., Trahanias, P.E., 1997. Generalized multichannel image-filtering structures. IEEE Trans. Image Process., 6(7):1038–1045. [doi:10.1109/83.597278]
Lukac, R., 2003. Adaptive vector median filtering. Pattern Recogn. Lett., 24(12):1889–1899. [doi:10.1016/S0167-8655(03)00016-3]
Lukac, R., 2004. Adaptive color image filtering based on center-weighted vector directional filters. Multidim. Syst. Signal Process., 15(2):169–196. [doi:10.1023/B:MULT. 0000017024.66297.a0]
Lukac, R., Smolka, B., Plataniotis, K.N., Venetsanopoulos, A.N., 2006. Vector sigma filters for noise detection and removal in color images. J. Vis. Commun. Image Represent., 17(1):1–26. [doi:10.1016/j.jvcir.2005.08.007]
Ma, Z.H., Wu, H.R., Feng, D.G., 2006. Partition-based vector filtering technique for suppression for noise in digital color images. IEEE Trans. Image Process., 15(8): 2324–2342. [doi:10.1109/TIP.2006.877066]
Morillas, S., Gregori, V., Peris-Fajarnes, G., Sapena, A., 2007. New adaptive vector filter using fuzzy metrics. J. Electron. Imag., 16(3):033007. [doi:10.1117/1.2767335]
Schulte, S., de Witte, V., Nachtegael, M., van der Weken, D., Kerre, E.E., 2007. Histogram-based fuzzy color filter for image restoration. Image Vis. Comput., 25(9):1377–1390. [doi:10.1016/j.imavis.2006.10.002]
Smolka, B., Chydzinski, A., 2005. Fast detection and impulse noise removal in color image. Real-Time Imag., 11(5–6):389–402. [doi:10.1016/j.rti.2005.07.003]
Trahanias, P.E., Karakos, D., Venetsanopoulos, A.N., 1996. Directional processing of color image: theory and experimental results. IEEE Trans. Image Process., 5(6): 868–880. [doi:10.1109/83.503905]
Plataniotis, K.N., Venetsanopoulos, A.N., 2000. Color Image Processing and Application. Springer, Berlin, p.51–58.
Zhou, H., Mao, K.Z., 2007. An impulse noise color image filter using learning based color morphological operation. Dig. Signal Process., 18(3):406–421. [doi:10.1016/j.dsp.2007. 04.013]
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Wu, Cc., Zhao, Cy. & Chen, Dy. Improved switching based filter for protecting thin lines of color images. J. Zhejiang Univ. - Sci. C 11, 36–44 (2010). https://doi.org/10.1631/jzus.C0910145
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DOI: https://doi.org/10.1631/jzus.C0910145