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Adaptive marginal median filter for colour images.

Samuel Morillas¹, Valentín Gregori, Almanzor Sapena

¹Instituto Universitario de Matemática Puray Aplicada, Universidad Politécnica de Valencia, Camino de Vera s/n, 46022 Valencia, Spain. smorillas@mat.upv.es

Sensors (Basel, Switzerland)

|December 14, 2011

Summary

A novel filter enhances impulse noise reduction in color images by adaptively processing pixels, outperforming the standard vector median filter without introducing color artifacts.

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Area of Science:

Digital Image Processing
Computer Vision

Background:

Impulse noise significantly degrades color image quality.
Classical vector median filters offer limited noise reduction capabilities.

Purpose of the Study:

To introduce a new adaptive filter for impulse noise reduction in color images.
To improve upon the noise reduction performance of the vector median filter.
To ensure the proposed filter avoids introducing color artifacts.

Main Methods:

A novel filter inspired by vector marginal median filtering.
Adaptive pixel selection within filtering windows based on the vector median.
Application of marginal median operation for robust filter design.

Main Results:

Keywords:

color image filter robust filter vector median filter

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The proposed filter demonstrates superior impulse noise reduction compared to the vector median filter.
Filtered images exhibit a reduction in noisy pixels.
The method effectively processes color images without generating color artifacts.

Conclusions:

The developed adaptive filter offers enhanced impulse noise reduction for color images.
The filter design is more robust due to its adaptive nature.
This method provides a viable solution for preserving color fidelity during noise reduction.