Morphological Filtering Algorithm for Restoring Images Contaminated by Impulse Noise

• Jorge Domingo Mendiola-Santibañez ^[1] ; Miguel Octavio Arias-Estrada ^[2] ; Israel Marcos Santillán-Méndez ^[3] ; Juvenal Rodríguez-Reséndiz ^[3] ; Martín Gallegos-Duarte ^[3] ; Domingo José Gómez-Meléndez ^[4] ; Ivan Ramón Terol-Villalobos ^[1]
  1. [1] Center of Research and Technologic Development in Electrochemistry

     Center of Research and Technologic Development in Electrochemistry

     México

     
  2. [2] Instituto Nacional de Astrofísica, Óptica y Electrónica

     Instituto Nacional de Astrofísica, Óptica y Electrónica

     México

     
  3. [3] Universidad Autónoma de Querétaro

     Universidad Autónoma de Querétaro

     México

     
  4. [4] Universidad Politécnica de Querétaro

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• Localización: Computación y Sistemas (CyS), ISSN 1405-5546, ISSN-e 2007-9737, Vol. 19, Nº. 2, 2015, págs. 243-254
• Idioma: inglés
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• Resumen

  • In this paper a methodology to restore gray scale images with pixels polluted by random impulsive noise is presented. Noise is discovered using a criterion based on the white top-hat by reconstruction. Pixels detected as corrupted are restored using an iterative morphological algorithm built with extensive and antiextensive morphological transformations. The proposal is compared with the rank ordered mean filter (ROM) and other morphological transformations reported in the current literature.