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.
seamlet carving image resizing saliency map