Modeling and Numerical Validation for an Algorithm Based on Cellular Automata to Reduce Noise in Digital Images

Computers

Helbert Eduardo Espitia¹  Danilo Gustavo Gil¹  Karen Vanessa Angulo¹ 

[1] Facultad de Ingeniería, Universidad Distrital Francisco José de Caldas, Bogotá 110231, Colombia;

关键词: analysis;    automaton;    cellular;    digital images;    processing;    noise;   

DOI  :  10.3390/computers11030046

来源: DOAJ

【 摘 要 】

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 adaptive process obtains suitable results for eliminating salt and pepper type-noise. Finally, by means of examples, the result of the algorithm are shown graphically.

【 授权许可】

Unknown