Skip to main content
SpringerLink
Log in

Real-Time Color Image Processing Using Order Statistics Filters

  • Published:
Journal of Mathematical Imaging and Vision Aims and scope Submit manuscript

Abstract

The Vector Rank M-type K-Nearest Neighbour (VRMKNN) filter to remove impulsive noise from color images and video color sequences is presented. This filter utilizes multichannel image processing by using the vector approach and the Rank M-Type K-Nearest Neighbour (RMKNN) algorithm. Simulation results indicate that the proposed filter consistently outperforms other color image filters by balancing the tradeoff between noise suppression and detail preservation. The implementation of the filter was realized on the DSP TMS320C6711 to demonstrate that the proposed filter potentially could provide a real-time solution to quality video transmission.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. J. Astola and P. Kuosmanen, Fundamentals of Nonlinear Digital Filtering, CRC Press: Boca Raton-New York, 1997.

    Google Scholar 

  2. A. Bovik, Handbook of Image and Video Processing, Academic Press: San Diego, CA, 2000.

    Google Scholar 

  3. F.J. Gallegos-Funes, V. Ponomaryov, S. Sadovnychiy, and L. Nino-de-Rivera, “Median M-type Knearest neighbour (MMKNN) filter to remove impulse noise from corrupted images,” Electron. Lett., Vol. 38–15, pp. 786–787,2002.

    Article  Google Scholar 

  4. K.N. Plataniotis, D. Androutsos, S. Vinayagamoorthy, and A.N. Venetsanopoulos, “Color image processing using adaptive multichannel filters,” IEEE Trans. Image Process., Vol. 6–7, pp. 933–949, 1997.

    Article  Google Scholar 

  5. V.I. Ponomaryov, A. Rosales-Silva, and F. Gallegos-Funes, “Impulsive noise suppression and analysis in color imaging,” in Proc. SPIE Image Processing: Algorithms and Systems III, San Jose, CA, January 2004, pp. 567–576.

  6. P.E. Trahanias, D.G. Karakos, and A.N. Venetsanopoulos, “Directional processing of color images: Theory and experimental results,” IEEE Trans. Image Process., Vol. 5, pp. 868–880, 1996.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. National Polytechnic Institute of Mexico, Mechanical and Electrical Engineering Higher School, U. P. Culhuacan, Av. Santa Ana 1000, Col. San Francisco Culhuacan, 04430, Mexico D.F., Mexico

    Volodymyr Ponomaryov

  2. National Polytechnic Institute of Mexico, Mechanical and Electrical Engineering Higher School, U. P. Zacatenco, Av. IPN s/n, Edificio Z, Acceso 3, 3er. piso; Col. Lindavista, 07738, Mexico D.F., Mexico

    Francisco Gallegos-Funes

  3. National Polytechnic Institute of Mexico, Mechanical and Electrical Engineering Higher School, U. P. Culhuacan, Av. Santa Ana 1000, Col. San Francisco Culhuacan, 04430, Mexico D.F., Mexico

    Alberto Rosales-Silva

Authors
  1. Volodymyr Ponomaryov
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Francisco Gallegos-Funes
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Alberto Rosales-Silva
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Francisco Gallegos-Funes.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Ponomaryov, V., Gallegos-Funes, F. & Rosales-Silva, A. Real-Time Color Image Processing Using Order Statistics Filters. J Math Imaging Vis 23, 315–319 (2005). https://doi.org/10.1007/s10851-005-2025-8

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10851-005-2025-8

Keywords

Search

Navigation