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 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.