An automatic procedure for generating colored two-dimensional symmetrical images based on the chemical reactions discrete chaotic dynamics (CRDCD) is proposed. The inverse problem of derivation of symmetrical images from CRDCD mathematical models was formulated and solved using a special type of genetic algorithm. Different symmetrical images corresponding to the solutions of a CRDCD mathematical model for which the parameters were obtained automatically by the proposed method are presented.
A specific system of difference equations derived from chemical reactions discrete chaotic dynamics (CRDCD) was used for generating visual images. Examples of symmetrical images generated by the proposed method were used to illustrate the impact of different color palettes on the resulting images. The image quality could be improved by applying an interpolation scheme.
A system of difference equations derived from chemical reactions discrete chaotic dynamics (DCD) is used to generate different types of images and corresponding discrete time series (signals). Dynamic properties of the generated time series and images are illustrated by partial bifurcation diagrams, partial intermediate bifurcation diagrams and Lyapunov exponents. Examples of images and signals have been presented. Some special relations between images and signals generated by DCD have been established and discussed.
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