Journal of Graphics
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Abstract: Scaling and seam carving are commonly used algorithm in image resizing, but scaling is not suitable for the case that the resize ratio is not uniformity, seam carving will also has a bad effect on important area in some cases. In this paper we proposed a novel algorithm which is based on important region maintain. Firstly, we make a corner detection based on difference of Gaussian, then Graham-scan algorithm is applied to do an important region detection, after that we will add different weights between important region and unimportant region. The experimental result shows our method is better than other image resizing algorithms in maintaining the important area.
Key words: seam carving, important area, corner detection, image resizing, convex hull
Zou Panpan, Lu Ping, Zhu Hengliang, Dong Zhenjiang, Jia Xia, Lin Xiao, Ma Lizhuang. An Novel Image Resizing Method Based on Important Area Maintain[J]. Journal of Graphics, DOI: 10.11996/JG.j.2095-302X.2016020230.
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URL: http://www.txxb.com.cn/EN/10.11996/JG.j.2095-302X.2016020230
http://www.txxb.com.cn/EN/Y2016/V37/I2/230