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NIF-based seam carving for image resizing

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Abstract

In this paper, improving the existing seam carving technique, we propose a novel image-resizing method which considers both texture and color information of the original image. Neighborhood inhomogeneity factor (NIF), which describes the image inhomogeneity, is used to compute the saliency map of an image in the Lab space. Although a saliency map well preserves the uniformity of important areas within an image, it lacks details of the image. Hence, we propose to combine a gradient map of an image with the saliency map to generate a final energy map for seam carving. Extensive experiments and comparisons are conducted to evaluate the performance of the proposed NIF-based seam carving method. Experimental results demonstrate that the proposed method preserves the original details and scale of important areas and achieves robust resizing results with reducing distortion, even when the background shows a high degree of resemblance in appearance to the contained objects .

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Acknowledgments

We thank Yu-Shuen Wang for providing their image resizing software for the comparison presented in Fig. 8. This work is supported in part by 973 Program under Grants 2012CB316304, in part by the NSFC under Grant 61103058, 61103059, 61173104 and 61272220, in part by the NSF of Jiangsu Province under Grants BK2011700, BK2012399 and Open Project Program of the National Laboratory of Pattern Recognition (NLPR).

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Correspondence to Jinhui Tang.

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Communicated by T. Plagemann.

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Guo, D., Ding, J., Tang, J. et al. NIF-based seam carving for image resizing. Multimedia Systems 21, 603–613 (2015). https://doi.org/10.1007/s00530-014-0425-6

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