2022
DOI: 10.3390/computers11030046
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Modeling and Numerical Validation for an Algorithm Based on Cellular Automata to Reduce Noise in Digital Images

Abstract: Given the grid features of digital images, a direct relation with cellular automata can be established with transition rules based on information of the cells in the grid. This document presents the modeling of an algorithm based on cellular automata for digital images processing. Using an adaptation mechanism, the algorithm allows the elimination of impulsive noise in digital images. Additionally, the comparison of the cellular automata algorithm and median and mean filters is carried out to observe that the … Show more

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Cited by 3 publications
(1 citation statement)
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References 48 publications
(69 reference statements)
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“…Bykov [28] uses a modified Wolfram's rule 184 to simulate a heterogeneous traffic flow for a smart city. A new technique is proposed by Angulo et al [29] to reduce noise in a digital image. The experimental result shows this technique is also effective for reducing salt and pepper noises.…”
Section: Introductionmentioning
confidence: 99%
“…Bykov [28] uses a modified Wolfram's rule 184 to simulate a heterogeneous traffic flow for a smart city. A new technique is proposed by Angulo et al [29] to reduce noise in a digital image. The experimental result shows this technique is also effective for reducing salt and pepper noises.…”
Section: Introductionmentioning
confidence: 99%