Seamlet carving for shape-aware image resizing  

作　　者：LIN Xiao SHENG Bin MA LiZhuang SHEN Yang CHEN ZhiHua 

机构地区：[1]Department of Computer Science and Engineering,Shanghai Jiao Tong University,Shanghai 200240,China [2]Academy of Information Technology,Luoyang Normal University,Luoyang 471022,China [3]Department of Computer Science and Engineering,East China University of Science and Technology,Shanghai 200237,China

出　　处：《Science China(Information Sciences)》2012年第5期1073-1081,共9页中国科学（信息科学）（英文版）

基　　金：supported by National High Technology Research and Development Program of China(Grant No.2009AA01Z334);National Basic Research Project of China (Grant No. 2011CB302200);National Natural Science Foundation of China (Grant No.60873136);Innovation Program of the Science and Technology Commission of Shanghai Municipality

摘　　要：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.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.

关 键 词：image resizing seamlet carving saliency map 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TS972.114[自动化与计算机技术—计算机科学与技术]