Seamlet carving for shape-aware image resizing
In this paper we propose an optimized seam-carving approach for anti-shearing image resizing.Current image/video seam-carving strategy only focuses on deleting the pixels along 8-connected seams,which may lead to the obvious information loss during resizing.Unlike the traditional seam-carving method...
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| Veröffentlicht in: | Science China. Information sciences 2012-05, Vol.55 (5), p.1073-1081 |
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| container_title | Science China. Information sciences |
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| creator | Lin, Xiao Sheng, Bin Ma, LiZhuang Shen, Yang Chen, ZhiHua |
| description | In this paper we propose an optimized seam-carving approach for anti-shearing image resizing.Current image/video seam-carving strategy only focuses on deleting the pixels along 8-connected seams,which may lead to the obvious information loss during resizing.Unlike the traditional seam-carving methods,our approach can construct a seamlet to handle the discontinuous pixels and further achieve an optimized image resizing results with shape-preservation.In particular,to suppress zigzag artifacts,we introduce the anti-shearing energy into the seamlet generation,which includes two steps：1） the energy map is formalized by using Gabor filtering and the saliency map;2） The energy computation is optimized in Gabor feature space to obtain the resizing results without the connectivity restriction.The experimental results and comparisons show the effectiveness of our method. |
| doi_str_mv | 10.1007/s11432-012-4565-z |
| format | Article |
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| subjects | China Computer Science Energy of formation Energy use Filtering Filtration Gabor滤波 Information Systems and Communication Service Pixels Research Paper sea Seams Shearing Strategy 图像缩放 图像调整 形状 感知 计算优化 雕刻方法 |
| title | Seamlet carving for shape-aware image resizing |
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