A fully automatic scaling up algorithm is presented in the framework of interpolation methods. For any integer zooming factor n, the algorithm generates a magnified version of an input color image in one scan of the image. The computational complexity of the algorithm is O(N), where N is the size of the input image. The visual aspect of the magnified images is generally appealing also when considering large zooming factors. Peak Signal to Noise Ratio and Structural SIMilarity are used to evaluate the performance of the algorithm and to compare it with other scaling up algorithms. © 2012 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Frucci, M., Arcelli, C., & Sanniti Di Baja, G. (2012). An automatic image scaling up algorithm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7329 LNCS, pp. 35–44). https://doi.org/10.1007/978-3-642-31149-9_4
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