A novel artificial mosaic generation technique driven by local gradient analysis

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Abstract

Art often provides valuable hints for technological innovations especially in the field of Image Processing and Computer Graphics. In this paper we present a novel method to generate an artificial mosaic starting from a raster input image. This approach, based on Gradient Vector Flow computation and some smart heuristics, permit us to follow the most important edges maintaining at the same time high frequency details. Several examples and comparisons with other recent mosaic generation approaches show the effectiveness of our technique. © 2008 Springer-Verlag Berlin Heidelberg.

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Battiato, S., Di Blasi, G., Gallo, G., Guarnera, G. C., & Puglisi, G. (2008). A novel artificial mosaic generation technique driven by local gradient analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5102 LNCS, pp. 76–85). https://doi.org/10.1007/978-3-540-69387-1_9

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