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A NOVEL ALGORITHM BASED ON CELLULAR AUTOMATA TO ELIMINATE NOISE IN DIGITAL IMAGES

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dc.contributor.author Angulo-Sogamoso, Karen V.
dc.contributor.author Gil-Sierra, Danilo G.
dc.contributor.author Espitia-Cuchango, Helbert E.
dc.date.accessioned 2019-11-05T11:01:01Z
dc.date.available 2019-11-05T11:01:01Z
dc.date.issued 2019-09-20
dc.identifier.issn 1819-6608
dc.identifier.uri http://142.54.178.187:9060/xmlui/handle/123456789/929
dc.description.abstract A cellular automaton is a processing system that makes decisions based on the information of its neighbors. Implementing a cellular automaton can have a direct relationship with the form of digital images representation, whereby it is possible to perform image processing applications using this concept. Due to this, this document presents the proposal of an algorithm based on cellular automata for the elimination of impulsive noise in digital images, which makes use of the adaptation mechanism to adjust to the environment conditions (in this case, the image) at the moment that the information acquired by the cellular automaton is insufficient to make a decision about the pixel under evaluation. In addition, thanks to the consideration of related works, an evaluation method can be established to observe the performance of the proposed algorithm against two algorithms presented by other authors. Tests are carried out with four images that have different characteristics. In evaluating the images exposed to different noise levels, the results obtained show that the proposed algorithm presents better according to the Structural Similarity Index (SSIM), since at noise levels between 10% and 90% improvements in noise reduction range between 15% and 68%. en_US
dc.language.iso en_US en_US
dc.publisher Asian Research Publishing Network en_US
dc.subject Engineering and Technology en_US
dc.subject Cellular automaton en_US
dc.subject Digital images en_US
dc.subject Processing en_US
dc.subject Noise en_US
dc.title A NOVEL ALGORITHM BASED ON CELLULAR AUTOMATA TO ELIMINATE NOISE IN DIGITAL IMAGES en_US
dc.type Article en_US


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