Abstract
In this paper, we propose a new scaling algorithm which performs the scaling up/down transform using an area pixel model rather than a point pixel model. The proposed algorithm uses a variable number of pixels of an original image to calculate a pixel of the scaled image. Our algorithm has good characteristics such as fine-edge and good smoothness. Different quality parameters (standard deviation, root mean square error, aliasing, edge map) are used to compare our algorithm with four image scaling algorithms: nearest neighbour, bilinear, bicubic and winscale algorithms. The results show that our algorithm generally produces images of better quality with few aliasing, few blur and high contrast.
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Horé, A., Deschênes, F., Ziou, D. (2008). A Simple Scaling Algorithm Based on Areas Pixels. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2008. Lecture Notes in Computer Science, vol 5112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69812-8_6
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DOI: https://doi.org/10.1007/978-3-540-69812-8_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69811-1
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