Serviços Personalizados
Journal
Artigo
Indicadores
Links relacionados
- Similares em SciELO
Compartilhar
Computación y Sistemas
versão On-line ISSN 2007-9737versão impressa ISSN 1405-5546
Comp. y Sist. vol.6 no.3 Ciudad de México Jan./Mar. 2003
Artículo
Filtros Robustos RMKNN con Diferentes Funciones de Influencia para Supresión de Ruido Impulsivo en Imágenes Digitales
Robust RMKNN Filters with Different Influence Functions for Removal of Impulsive Noise in Digital Images
Francisco Gallegos1, Volodymyr Ponomaryov2, Oleksiy Pogrebnyak3 y Luis Niño de Rivera2
1 Escuela Superior de Ingeniería Mecánica y Eléctrica, U.P.A.L.M, Zacatenco Av. IPN s/n, Col. Lindavista, C.P. 07738, México, D.F. Email: fcogf@hotmail.com
2 Escuela Superior de Ingeniería Mecánica y Eléctrica, U.P. Culhuacán del IPN Av. Sta. Ana 1000, Col. San Francisco Culhuacán, C.P. 04430, México, D.F. Email: vponomar@ipn.mx
3 Centro de Investigación en Computación del IPN Av. Juan de Dios Bátiz s/n Col. Lindavista C.P. 07738, México D.F. Email: olek@cic.ipn.mx
Artículo recibido en Diciembre 12, 2002
Aceptado en Marzo 15, 2003
Resumen
Presentamos la implementación de filtros robustos para imágenes con supresión de ruido impulsivo y preservación de detalles. Los esquemas de filtrado usan una técnica similar al filtro KNN para proveer la preservación de detalles finos y la combinación de estimadoresM con el estimador de la mediana o Wilcoxon proveen la supresión de ruido impulsivo. Usamos diferentes tipos de funciones de influencia en el estimadorMpara proveer una mejor supresión de ruido impulsivo. El filtrado de secuencias de vídeo corrompidas con ruido impulsivo demuestra que los métodos propuestos potencialmente proveen una solución para mejorar la calidad de las transmisiones de TV/Vídeo. La eficiencia de los filtros propuestos fue evaluada por numerosas simulaciones. La implementación de los filtros propuestos fue realizada en tiempo real mediante el uso del DSP TMS320C6701.
Palabras Clave: Filtros de orden estadístico, filtros RMKNN, DSP TMS320C6701.
Abstract
We present the implementation of robust image filtering for impulsive noive suppression with detail preservation. The filtering schemes use a similar to KNN filter technique to provide fine detail preservation and the redescending Mestimators combined with the median or Wilcoxon estimator to provide impulsive noise rejection. We use different types of influence functions in the Mestimator to provide better impulsive noise suppression. The filtration of image sequences corrupted by impulsive noise demonstrates that the proposed methods potentially could provide a solution to quality TV/Video transmission. The efficiency of the proposed filters has been evaluated by numerous simulations. The implementation of proposed filters was realized in realtime by means of use of DSP TMS320C6701.
Keywords: Order Statistics Filters, RMKNN filters, DSP TMS320C6701.
DESCARGAR ARTÍCULO EN FORMATO PDF
Agradecimientos
Los autores dan las gracias al Instituto Politécnico Nacional y al programa PROMEP SUPERA por los apoyos brindados.
Referencias
Pitas I., and A. N. Venetsanopoulos, Nonlinear Digital Filters: Principles and Applications, Kluwer Academic Publisher, 1990. [ Links ]
Astola J., and P. Kuosmanen, Fundamentals of Nonlinear Digital Filtering, CRC Press, Boca RatonNew York, 1997. [ Links ]
P.J. Huber, Robust Statistics. Wiley, 1981. [ Links ]
J. L. Hodges and E. L. Lehmann. "Estimates of location based on rank tests". Ann. Math. Statist., 34:598611, 1963. [ Links ]
Hampel F. R., E. M. Ronchetti, P. J. Rouseew, and W. A. Stahel, Robust Statistics. The approach based on influence function, Wiley, New York, 1986. [ Links ]
Bovik A., Handbook of Image and Video Processing, Academic Press, San Diego CA, 2000. [ Links ]
Kotropoulos C, and I. Pitas, Nonlinear ModelBased Image/Video Processing and Analysis, John Wiley & Sons Inc., 2001. [ Links ]
Mitra S. K., and G. L. Sicuranza, Nonlinear Image Processing, Academic Press, San Diego CA, 2001. [ Links ]
Ponomaryov V. I., and O. B Pogrebnyak, "Novel robust RM filters for radar image preliminary processing", Journal of Electronic Imaging, Vol. 8, No. 4, 1999, pp. 467477. [ Links ]
GallegosFunes F. J., V. I. Ponomaryov, V. F. Kravchenko, and L. NinodeRivera, "Robust Detail Preserving Image Filter by Means of Use DSP TMS320C6701", Telecommunications and Radio Engineering, Vol. 56, No. 1, 2001, pp. 7982. [ Links ]
Brownrigg D. R. K., "The Weighted Median Filter", Commun. Assoc. Comput. Mach, Vol. 27, Aug. 1984, pp. 887818. [ Links ]
YliHarja O., J. Astola and Y. Neuvo, "Analysis of properties of stack and weighted median filters", IEEE Trans. Acoust., Speech, Signal Processing, Vol. 39, No. 2, 1991, pp. 395410. [ Links ]
Wichman R., J. Astola, P. Heinonen and Y. Neuvo, "FIRmedian hybrid filters with excellent trasient response in noisy conditions", IEEE Trans. Acoust., Speech, Signal Processing, Vol. 38, Dec. 1990, pp. 21082117. [ Links ]
Hardie R. C, and C. G. Boncelet, "LUM filters: a class of rank order based filters for smoothing and sharpening", IEEE Trans. Signal Processing, Vol. 41, March 1993, pp. 10611076. [ Links ]
Chen T., K. Ma and L. Chen, "TriState Median filter for image denoising," IEEE Trans. Image Process. 8(12), pp. 18341838, 1999. [ Links ]
Chen T. and H. R. Wu, "Adaptive impulse detection using centerweighted median filters," IEEE Signal Processing Letters, 8(1), 13, 2001. [ Links ]
Abreu E., M. Lightstone, S. K. Mitra and K. Arakawa, "A new efficient approach for the removal of impulse noise from highly corrupted images", IEEE Trans. Image Process, Vol. 5, No. 6, 1996, pp. 10121025. [ Links ]
WeiYu H., and Lin JaChen, "Minimummaximum exclusive mean (MMEM) filter to remove impulse noise from highly corrupted images", Electronics Letters, Vol. 33, No. 2, 1997, pp. 124125. [ Links ]
Özkan M. K., M. I. Sezan and A. Murat, "Adaptive motioncompensated filtering of noisy image sequences," IEEE Trans. Circuits and Syst. For Video Tech. 3(4), 277290, 1993. [ Links ]
Huang T. S., G. J. Yang and G. Y. Tang, "A Fast twodimentional median filtering algorithm", IEEE Trans. Acoust. Speech, Signal Process. ASSP27, 1979, pp. 1318. [ Links ]
Pitas I., "Fast algorithms for running order and max/min calculations", IEEE Trans. Circuits and Systems, Vol. 36, No. 6, 1989, pp. 795904. [ Links ]
Texas Instruments, TMS320C6201/6701 Evaluation Module User's Guide, SPRU269D, Texas Instruments Incorporated, 1998. [ Links ]
Texas Instruments, TMS320C6000 Optimizing Compiler User's Guide, SPRU187G, Texas Instruments Incorporated, 2000. [ Links ]