On the Properties of Some Adaptive Morphological Filters for Salt and Pepper Noise Removal

Authors

  • Marisol Mares-Javier Facultad de Ciencias Físico Matemáticas Benemérita Universidad Autónoma de Puebla
  • Carlos Guillén-Galván Facultad de Ciencias Físico Matemáticas Benemérita Universidad Autónoma de Puebla
  • Rafael Lemuz-López Computer Science Faculty, BUAP University https://orcid.org/0000-0002-2139-9052
  • Johan Debayle Mines Saint-Etienne, CNRS, UMR 5307 LGF, Centre SPIN, 158 cours Fauriel, 42023 Saint-Etienne Cedex 2, France

DOI:

https://doi.org/10.5566/ias.2418

Keywords:

adaptive morphological filters, grayscale images, noise removal

Abstract

Mathematical Morphology (MM) is a tool that can be applied to many digital image processing tasks that include the reduction of impulsive or salt and pepper noise in grayscale images. The morphological filters used for this task are filters resulting from two basic operators: erosion and dilation. However, when the level of contamination of the image is higher, these filters tend to distort the image. In this work we propose a pair of operators with properties, that better adapt to impulsive noise than other classical morphological filters, it is demonstrated to be increasing idempotent morphological filters. Furthermore, the proposed pair turns out to be a ∧-filter and a ∨-filter which allow to build morphological openings and closings. Finally, they are compared with other filters of the state-of-the-art such as: SMF, DBAIN, AMF and NAFSM, and have shown a better performance in time-quality ratio when the noise level is above 50%.

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Published

2021-04-09

How to Cite

Mares-Javier, M., Guillén-Galván, C., Lemuz-López, R., & Debayle, J. (2021). On the Properties of Some Adaptive Morphological Filters for Salt and Pepper Noise Removal. Image Analysis and Stereology, 40(1), 29–38. https://doi.org/10.5566/ias.2418

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Original Research Paper

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