Clustering approach algorithm for image interpolation

Authors:
Tania Mezzadri Centeno;Márcio Teruo Akyama
Affiliations:
Federal Technological University of Parana, Curitiba-PR;Federal Technological University of Parana, Curitiba-PR
Venue:
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Year:
2012

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Abstract

Several interpolation methods for preserving edges were proposed in literature. This work presents a new interpolation technique simple and easy to implement based on clustering which aims to increase the resolution of a gray scale image preserving edges. Results showed that the technique is quite competitive and meets the stated goals.