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Three-stage unstructured filter for removing mixed Gaussian plus random impulse noise

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Digital image processing is often contaminated by more than one type of noise, such as mixed noise. In this paper, we propose a three-stage process to develop K-SVD method not only for reducing Gaussian noise but also for mixed Gaussian and impulse noise with optimizing input system and preserving edge structure. A three-stage process is combining of impulse noise removal, edge reconstruction and image smoothing. Press- ing of an impulse noise in the early stages by Decision Based Algorithm (DBA) and repairing edge structure by an edge-map are able to optimize the performance of the K-SVD method for smoothing an image. The performance of the filter is analysed in terms of Peak Signal to Noise Ratio (PSNR), Mean Structural Simi- larity (MSSIM) index and Blind Image Quality Index (BIQI). The simulation result is obtained a significant improvement over the previous research.

Original languageEnglish
Title of host publicationSIGMAP 2014 - Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications, Part of ICETE 2014 - 11th International Joint Conference on e-Business and Telecommunications
EditorsMohammad S. Obaidat, Andreas Holzinger, Enrique Cabello
PublisherSciTePress
Pages99-106
Number of pages8
ISBN (Electronic)9789897580468
DOIs
Publication statusPublished - 2014
Event11th International Conference on Signal Processing and Multimedia Applications, SIGMAP 2014 - Part of 11th International Joint Conference on e-Business and Telecommunications, ICETE 2014 - Vienna, Austria
Duration: 28 Aug 201430 Aug 2014

Publication series

NameSIGMAP 2014 - Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications, Part of ICETE 2014 - 11th International Joint Conference on e-Business and Telecommunications

Conference

Conference11th International Conference on Signal Processing and Multimedia Applications, SIGMAP 2014 - Part of 11th International Joint Conference on e-Business and Telecommunications, ICETE 2014
Country/TerritoryAustria
CityVienna
Period28/08/1430/08/14

Keywords

  • K-SVD method
  • Mixed noise
  • Noise removal

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