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Spatially Adaptive Algorithm for Impulse Noise Removal from Color Images

  • Vitaly Kober
  • Mikhail Mozerov
  • Josué Álvarez-Borrego
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2905)

Abstract

An effective method for removal impulse noise in corrupted color images is proposed. The method consists of two steps. Outliers are first detected using spatial relationships between the color image components. Then the detected noise pixels are replaced with the output of the vector median filter over a local spatially connected area excluding the outliers, while noise-free pixels are left unaltered. Simulation results in a test color image show a superior performance of the proposed filtering algorithm comparing with the conventional vector median filter. The comparisons are made using a mean square error, a mean absolute error, and a subjective human visual error criteria.

Keywords

Mean Square Error Impulse Noise Mean Absolute Error Impulsive Noise Noisy Pixel 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Vitaly Kober
    • 1
  • Mikhail Mozerov
    • 2
  • Josué Álvarez-Borrego
    • 3
  1. 1.Department of Computer Sciences, Division of Applied PhysicsCICESEEnsenadaMexico
  2. 2.Laboratory of Digital OpticsInstitute for Information Transmission ProblemsMoscowRussia
  3. 3.Optics Department, Division of Applied PhysicsCICESEEnsenadaMexico

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