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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Bibliographic Details
Published in:Science China. Information sciences 2012-05, Vol.55 (5), p.1073-1081
Main Authors: Lin, Xiao, Sheng, Bin, Ma, LiZhuang, Shen, Yang, Chen, ZhiHua
Format: Article
Language:English
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
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Summary: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.
ISSN:1674-733X
1869-1919
DOI:10.1007/s11432-012-4565-z