The Evolutionary Process of Image Transition in Conjunction with Box and Strip Mutation

TL;DR

This paper introduces a novel evolutionary approach for digital image transition using box and strip mutation operators, demonstrating their effectiveness in generating unique digital art through experimental validation.

Contribution

It presents new mutation operators specifically designed for image transition within evolutionary algorithms, enhancing the generation of digital art.

Findings

The proposed mutation operators effectively produce diverse image transitions.

Evolutionary algorithms with these mutations generate unique digital art pieces.

Experimental results validate the usefulness of the approach in generative art creation.

Abstract

Evolutionary algorithms have been used in many ways to generate digital art. We study how evolutionary processes are used for evolutionary art and present a new approach to the transition of images. Our main idea is to define evolutionary processes for digital image transition, combining different variants of mutation and evolutionary mechanisms. We introduce box and strip mutation operators which are specifically designed for image transition. Our experimental results show that the process of an evolutionary algorithm in combination with these mutation operators can be used as a valuable way to produce unique generative art.