Optimal bi-directional seam carving for content-aware image resizing

Authors:
Meiling Shi;Guoqin Peng;Lei Yang;Dan Xu
Affiliations:
Department of Computer Science and Engineering, Yunnan University, Kunming, P.R. China;Department of Computer Science and Engineering, Yunnan University, Kunming, P.R. China;Department of Computer Science and Engineering, Yunnan University, Kunming, P.R. China;Department of Computer Science and Engineering, Yunnan University, Kunming, P.R. China
Venue:
Edutainment'10 Proceedings of the Entertainment for education, and 5th international conference on E-learning and games
Year:
2010

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Abstract

An optimal bi-directional seam carving method for content-aware image resizing is proposed in this paper. It can adaptively confirm the quantity of the carving seams in both horizontal and vertical directions according to the homogeneous region distribution obtained from the significance map. The significance map is a weighted average of the gradient magnitude and saliency measure which is calculated by our multi-resolution saliency model. Comparing the previous unidirectional seam carving methods of backward and forward, our method fully utilizes the available homogeneous information in arbitrary position of the original image. Therefore, it will avoid to delete or insert seams passing through the prominent features and structure objects so as to decrease or even eliminate the artifacts of staircase effects.