Optimized the Performance of Super Resolution Images by Salt and pepper Noise Removal based on a Modified Trimmed Median Filter

Authors

  • Muthmainnah Al Asyariah Mandar University Polewali Mandar Jl. Budi Utomo No. 2 Manding Kecamatan Polewali Kabupaten Polewali Mandar,Indonesia https://orcid.org/0000-0003-3170-2374
  • Luís Miguel Cardoso Polytechnic Institute of Portalegre and Centre for Comparative Studies University of Lisbon, Portugal Indonesia

DOI:

https://doi.org/10.31185/wjcms.191

Keywords:

Keyword 1, keyword 2, number of keywords is usually 3-7, but more is allowed if deemed necessary

Abstract

Image processing is an interesting area where noisy images can be restored from salt and pepper noise. Various filtering algorithms can be used in the restoration process. Pixels in the original image should not be affected by the restoration process. Despite changes in dimensions and image format, the problem of the existing work persists. A hybrid technique used Ant colony Optimization to remove high-density salt and pepper noise from images. This hybrid technique would remove salt and pepper noise in corrupted images. Ant Colony Optimization (ACO) identifies and selects noisy pixels from corrupted images. It eliminates salt and pepper noise (SP Noise), which causes black and white spots in the original image. All the processes are explained to prove the theory, and the simulation results are presented.

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Published

2023-09-30

Issue

Section

Computer

How to Cite

[1]
Muthmainnah and Luís Miguel Cardoso, “Optimized the Performance of Super Resolution Images by Salt and pepper Noise Removal based on a Modified Trimmed Median Filter”, WJCMS, vol. 2, no. 3, pp. 108–115, Sep. 2023, doi: 10.31185/wjcms.191.