Abstract
This paper presents a structure-aware resizing method for Chinese character images. Compared to other image resizing approaches, the proposed method is able to preserve important features such as the width, orientation and trajectory of each stroke for a given Chinese character. The key idea of our method is to first automatically decompose the character image into strokes, and then separately resize those strokes naturally using a modified linear blend skinning approach and as-rigid-as-possible shape interpolation under the guidance of structure information. Experimental results not only verify the superiority of our method compared to the state of the art but also demonstrate its effectiveness in several real applications.
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Acknowledgements
This work was supported by National Natural Science Foundation of China (Grant Nos.: 61472015, 61672056 and 61672043), National Hi-Tech Research and Development Program (863 Program) of China (Grant No.: 2014AA015102), Beijing Natural Science Foundation (Grant No.: 4152022) and National Language Committee of China (Grant No.: ZDI135-9).
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Liu, C., Lian, Z., Tang, Y., Xiao, J. (2017). Structure-Aware Image Resizing for Chinese Characters. In: Amsaleg, L., Guðmundsson, G., Gurrin, C., Jónsson, B., Satoh, S. (eds) MultiMedia Modeling. MMM 2017. Lecture Notes in Computer Science(), vol 10132. Springer, Cham. https://doi.org/10.1007/978-3-319-51811-4_31
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