Abstract
Novel approach designed in this paper permits the suppression of impulsive noise in multichannel video sequences. It employs the fuzzy logic and vector order statistic methods to detect motion and noise presence during spatial-temporal processing neighbouring video frames, preserving the edges, fine details, as well as colour properties. Numerous simulation results have justified it excellent performance in terms of objective criteria: Pick Signal-to- Noise Ratio (PSNR), Mean Absolute Error (MAE) and Normalized Colour Difference (NCD), as well as in subjective perception by human viewer.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Schulte, S., Morillas, S., Gregori, V., Kerre, E.: A New Fuzzy Color Correlated Impulse Noise Reduction Method Trans. on Image Proc.  16(10), 2565–2575 (2007)
Plataniotis, K.N., Androutsos, D., Vinayagamoorthy, S., Venetsanopoulos, A.N.: Color Image Processing Using Adaptive Multichannel Filters. IEEE Transactions on Image Processing 6(7), 933–949 (1997)
Ponomaryov, V.I., Gallegos-Funes, F.J., Rosales-Silva, A.: Real-time color imaging based on RM-Filters for impulsive noise reduction. Journal of Imaging Science and Technology 49(3), 205–219 (2005)
Trahanias, P.E., Venetsanopoulos, A.N.: Vector Directional Filters. A new class of multichannel image processing Filters. IEEE Trans. on Image Processing 2, 528–534 (1993)
Lukac, R., Smolka, B., Plataniotis, K.N., Venetsanopoulos, A.N.: Selection Weighted Vector Directional Filters. Comput. Vision and Image Understanding 94, 140–167 (2004)
Smolka, B., Lukac, R., Chydzinski, A., Plataniotis, K.N., Wojciechowski, W.: Fast Adaptive Similarity Based Impulsive Noise Reduction Filter. Real-Time Imaging 9(4), 261–276 (2003)
Yin, H.B., Fang, X.Z., Wei, Z., Yang, X.K.: An Improved Motion-Compensated 3-D LLMMSE Filter With Spatio–Temporal Adaptive Filtering Support. IEEE Trans. on Circuits and Syst. for Video Techn. 17(12), 1714–1727 (2007)
Varghese, G., Wang, Z.: Video Denoising using a Spatiotemporal Statistical Model of Wavelet Coefficient. In: Proc. of the IEEE ICASSP Int. Conf., pp. 1257–1260 (2005)
Rusanovskyy, D., Dabov, K., Egiazarian, K.: Moving-Window Varying Size 3D Transform-Based Video Denoising. In: Proc. of IEEE Int. Conf. VPQM 2006, Scottdale, USA, pp. 1–4 (2006)
Protter, M., Elad, M.: Image Sequence Denoising via Sparse and Redundant Representations. IEEE Trans. on Image Procces 18(1), 27–35 (2007)
Sen, D., Swamy, M.N.S., Ahmad, M.O.: Computationally fast techniques to reduce AWGN and speckle in videos. IET Image Process 1(4), 319–334 (2007)
Ghazal, M., Amer, A., Ghrayeb, A.: A Real-Time Technique for Spatio–Temporal Video Noise Estimation. IEEE Trans. on Circuits and Syst. For Video Techn. 17(12), 1690–1699 (2007)
Guo, L., Au, O.C., Ma, M., Liang, Z.: Temporal Video Denoising Based on Multihypothesis Motion Compensation. IEEE Trans. on Image Proc. (2009)
Jin, F., Fieguth, P., Winger, L.: Wavelet Video Denoising with Regularized Multiresolution Motion Estimation. EURASIP Journal on Applied Signal Processing, Art. ID 72705 1–11 (2006)
Mélange, T., Nachtegael, M., Kerre, E.E., Zlokolica, V., Schulte, S., De Witte, V., Pižurica, A., Philips, W.: Video Denoising by Fuzzy Motion and Details Adaptive Averaging. Journal of Electron. Imaging 17 (2008) 0430051-19
Ponomaryov, V.: Real-time 2D-3D filtering using order statistics based algorithms. Journal of Real-Time Image Processing 1(3), 173–194 (2007)
Zlokolica, V., Philips, W., Van De Ville, D.: A new non-linear filter for video processing. In: Proc. of the third IEEE Benelux Signal Processing Symposium (SPS-2002), Leuven, Belgium, pp. 221–224 (2002)
Ponomaryov, V., Rosales-Silva, A., Golikov, V.: Adaptive and vector directional processing applied to video colour images. Electronics Letters 42(11), 623–624 (2006)
Schulte, S., De Witte, V., Nachtegael, M., Van del Weken, D., Kerre, E.: Fuzzy two-step filter for impulse noise reduction from color images. IEEE Trans. Image Processing 15(11), 3567–3578 (2006)
Zlokolica, V., Schulte, S., Pizurica, A., Philips, W., Kerre, E.: Fuzzy logic recursive motion detection and denoising of video sequences. Journal of Electronic Imaging 15(2), 23008 (2006)
Bovik, A.: Handbook of Image and Video Processing. Academic Press, San Diego (2000)
Prat, W.K.: Digital Image Processing, 2nd edn. Wiley, New York (1991)
Plataniotis, K.N., Venetsanopoulos, A.N.: Color Image Processing and Applications. Springer, Berlin (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ponomaryov, V., Rosales-Silva, A., Gallegos-Funes, F. (2009). 3D Filtering of Colour Video Sequences Using Fuzzy Logic and Vector Order Statistics. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2009. Lecture Notes in Computer Science, vol 5807. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04697-1_20
Download citation
DOI: https://doi.org/10.1007/978-3-642-04697-1_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04696-4
Online ISBN: 978-3-642-04697-1
eBook Packages: Computer ScienceComputer Science (R0)