Image interpolation is a method of obtaining a high resolution image from a low resolution image, which is applied to many image processing procedures. In order to make the interpolated image having smooth edges and make the interpolation processing fast, we propose a fast edge-directed interpolation algorithm in this paper. The proposed method consists of three steps, the determination of nonedge pixels and edge pixels, the bilinear interpolation for nonedge pixels, and the edge-adaptive interpolation for edge pixels. The experimental results show that it outperforms some existing interpolation algorithms in terms of image quality and processing speed. © 2012 Springer-Verlag.
CITATION STYLE
Tian, Q., Wen, H., Zhou, C., & Chen, W. (2012). A fast edge-directed interpolation algorithm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7665 LNCS, pp. 398–405). https://doi.org/10.1007/978-3-642-34487-9_49
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