Abstract
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.
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© 2012 Springer-Verlag Berlin Heidelberg
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Tian, Q., Wen, H., Zhou, C., Chen, W. (2012). A Fast Edge-Directed Interpolation Algorithm. In: Huang, T., Zeng, Z., Li, C., Leung, C.S. (eds) Neural Information Processing. ICONIP 2012. Lecture Notes in Computer Science, vol 7665. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34487-9_49
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DOI: https://doi.org/10.1007/978-3-642-34487-9_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34486-2
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