Clustering approach algorithm for image interpolation (original) (raw)
Proceedings of the 27th Annual ACM Symposium on Applied Computing - SAC '12, 2012
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.
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