Parallel Peer Group Filter for Impulse Denoising in Digital Images on GPU

Authors

  • José Agustín Tortolero Osuna Instituto Politécnico Nacional de México, ESIME Zacatenco, Col. Lindavista, 07738, CDMX, Mexico
  • Alberto Jorge Rosales Silva Instituto Politécnico Nacional de México, ESIME Zacatenco, Col. Lindavista, 07738, CDMX, Mexico

DOI:

https://doi.org/10.31577/cai_2019_6_1320

Keywords:

Impulse denoising, color images, CUDA, parallel architecture, fuzzy metrics

Abstract

A new two-steps impulsive noise parallel Peer Group filter for color images using Compute Unified Device Architecture (CUDA) on a graphic card is proposed. It consists of two steps: impulsive noise detection, which uses a Fuzzy Metric as a distance criterion and a filtering step. For the needed ordering algorithm we are using the Marginal Median Filter with forgetful selection sort. Comparisons with other color filters for Graphics Processing Unit (GPU) architectures are presented, demonstrating that our proposal presents better performance in color preservation and noise suppression.

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Published

2020-02-29

How to Cite

Tortolero Osuna, J. A., & Rosales Silva, A. J. (2020). Parallel Peer Group Filter for Impulse Denoising in Digital Images on GPU. COMPUTING AND INFORMATICS, 38(6), 1320–1340. https://doi.org/10.31577/cai_2019_6_1320

Issue

Vol. 38 No. 6 (2019): Computing and Informatics

Section

Articles