Colour video filtering based on vector order-statistics

• Autorzy: Lukac R. , Smolka B. , Bieda R. , Budzan S.
• Języki publikacji: EN

Abstrakty

EN

The paper introduces a multichannel filtering approach for colour video denoising taking advantage of an order-statistic theory for vector-valued image signals. The proposed adaptive vector filter utilizes switching between an identity operation and a directional distance smoothing function based on the trimmed set of lowest ranked multichannel samples. Because the proposed method uses the same ordering scheme as the standard vector filters, the computational complexity of the new method is computationally attractive. Moreover, the method outperforms the standard vector filters especially in terms of signal-detail preservation. In this paper, we analyse a three-dimensional filter structure based on a cube filter window spawning 27 samples of three following frames. Thus, the proposed algorithm can be applied for the filtering of spatio-temporal or time-varying vector-valued image signals such as colour image sequences or colour video.

Słowa kluczowe

EN

colour video filtering; impulsive noise; order statistics; vector filtering

PL

kolorowe filtrowanie wideo; hałas impulsowy; statystyka uporządkowana; filtrowanie wektorowe

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2003
• Tom: Vol. 5
• Strony: MI31--38
• Opis fizyczny: Bibliogr. 12 poz., rys., tab.

Twórcy

autor

Lukac R.

• Slovak Image Processing Center, Jarkova 343, 049 25 Dobsina, Slovak Republic

autor

Smolka B.

autor

Bieda R.

autor

Budzan S.

Bibliografia

• [1] ASTOLA, J., HAAVISTO, P., NEUVO, Y., Vector Median Filters. Proceedings of the IEEE, Vol. 78, No. 4, pp. 678-689, April 1990.
• [2] ASTOLA, J., KUOSMANEN, P., Fundamentals of Nonlinear Digital Filtering. CRC Press, 1997.
• [3] KARAKOS, D.G., TRAHANIAS, P.E., Generalized Multichannel Image-Filtering Structure. IEEE Transactions on Image Processing, Vol. 6, No. 7, pp. 1038-1045, July 1997.
• [4] KLIMA, M., DVORAK, P., ZAHRADNÍK, P., KOLAR, J., KOTT, P., Motion Detection and Target Tracking in a TV Image for Security Purposes. Proceedings 28th International IEEE Carnahan Conference on Security Technology 1994 in Albuquerque USA, pp. 43-44, 1994.
• [5] KOKARAM, A., Motion Picture Restoration, Springer Verlag, 1998.
• [6] LAGENDIJK, R.L., ROOSMALEN, P.M., BIEMOND, J., Video Enhancement and Restoration. In Handbook of Image and Video Processing (ed. A. Bovik), Academic Press, 2000.
• [7] 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.
• [8] LUKAC, R., SMOLKA, B., PLATANIOTIS, K.N., Colour Sigma Filter. Proceedings of IWSSIP'02 in Manchester, United Kingdom, pp. 559-565, November 2002.
• [9] NIKOLAIDIS, N., PITAS, I., 3-D Image Processing Algorithms. John Wiley & Sons, 2000.
• [10] PLATANIOTIS, K.N., VENETSANOPOULOS, A.N., Colour Image Processing and Applications, Springer Verlag, 2000.
• [11] VIERO, T., OISTAMO, K., NEUVO, Y., Three-Dimensional Median Related Filters for Colour Image Sequence Filtering. IEEE Transactions on Circuits and Systems for Video Technology, Vol. 4, No. 2, pp. 129-142, April 1994.
• [12] ZAHRADNIK, P., KLIMA, M., CUDA, J., Real Time Video Motion Detection based on the TMS 320C50 Signal Processor. Proceedings Texas Instruments Educators Conference, pp. 51-53, 1995.