EllipScape: A Genetic Algorithm Based Approach to Non-Photorealistic Colored Image Reconstruction for Evolutionary Art

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dc.contributor.authorDatta, Soumil
dc.contributor.authorWalter, Charles
dc.date.accessioned2023-12-26T18:37:37Z
dc.date.available2023-12-26T18:37:37Z
dc.date.issued2024-01-03
dc.identifier.doi10.24251/HICSS.2024.223
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.otherfd295bb1-2452-45ba-be58-7e02073fe98b
dc.identifier.urihttps://hdl.handle.net/10125/106601
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectSoft Computing: Theory Innovations and Problem-Solving Benefits
dc.subjectevolutionary art
dc.subjectimage reconstruction
dc.subjectnon-photorealistic images
dc.titleEllipScape: A Genetic Algorithm Based Approach to Non-Photorealistic Colored Image Reconstruction for Evolutionary Art
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractThe image reconstruction problem has uses in several areas, including the medical field, resolution scaling, and art. The goal of image reconstruction is to recreate an image as close to the original image as possible. While in many cases this goal is to nearly match a target image (or, in the case of generative machine learning problems, to match an image to a target group), it can be useful to examine methods of recreating an image with imperfections, often for the purposes of artistic expression or an understanding of the underlying structure of the image being reconstructed. In this paper, we introduce EllipScape -- a colored, non-photorealistic image reconstruction algorithm utilizing a genetic algorithm. This algorithm produces a resulting image that is similar to the original image but is created from ellipses of different sizes and colors. We show that the performance of this algorithm scales well and executes in a reasonable amount of time for an arbitrarily sized image.
dcterms.extent10 pages
prism.startingpage1774

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Soft Computing: Theory Innovations and Problem-Solving Benefits