Color imaging by using of DSP implementation of different filters

Author

Silva, A. J Rosales ; Ponomaryov, V.I.

Author_Institution

Instituto Politecnico Nacional, E.S.I.M.E. Zacatenco, Mexico

fYear

2004

fDate

16-18 Feb. 2004

Firstpage

293

Lastpage

298

Abstract

Non linear filtering techniques are presented to suppress impulsive noise and preserve fine image details. Directional processing, a non parametric approach and order statistics filters have been investigated. The previously presented novel algorithm MM-KNN (median M-type k-nearest neighbor) (Gallegos-Funes, F.J. et al., Elec. Lett., vol.38, no.15, p.786-7, 2002) is adapted to color imaging. Different criteria, such as impulsive noise suppression, edge and detail preservation, have been used to characterize the performance of color imaging. The analyzed algorithms have been implemented on a Texas Instruments DSP to obtain the values of processing time when different intensity noise corrupts the color image.

Keywords

digital signal processing chips; filtering theory; image colour analysis; image denoising; impulse noise; interference suppression; median filters; nonparametric statistics; statistical analysis; DSP implementation; Texas Instruments TMS320C6711 DSP; color imaging; directional processing; edge preservation; fine image detail preservation; impulsive noise suppression; median M-type k-nearest neighbor filter; median filter; nonlinear filtering techniques; nonparametric approach; order statistics filters; processing time; Color; Colored noise; Digital signal processing; Filtering; Kernel; Maximum likelihood detection; Noise robustness; Nonlinear filters; Parametric statistics; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Communications and Computers, 2004. CONIELECOMP 2004. 14th International Conference on

Print_ISBN

0-7695-2074-X

Type

conf

DOI

10.1109/ICECC.2004.1269589

Filename

1269589