Abstract
This paper proposes a seam carving algorithm based on saliency. This algorithm makes saliency detection to the source image. Images are classified according to the gray-scale of saliency detection. Adding different energy protection methods, it can protect the foreground area of a subject and detailed areas of the edge. Then the cumulative energy map is calculated. According to the principle of deleting the minimum energy pixel, single pixel-wide carves chosen to be deleted or copied. The experimental result shows that the algorithm avoids image restoration caused by extracting too many pixels in saliency area and non equal-ratio scaling. It reduces the deformed structures caused by displacement of edge pixel and also improves the integrity of algorithm.
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Acknowledgment
The paper is supported by the foundation of Technologies Research of the Education Department of Fujian Province No. JA15535. The work of Fuquan Zhang was supported by the Scientific Research Foundation of Minjiang University (No. MYK17021). Thanks to Pro. Shiming Hu and Dr. Mingming Chen.
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Lin, W., Zhang, F., Lian, R., Xu, L., Chen, X., Kuang, L. (2018). Seam Carving Algorithm Based on Saliency. In: Pan, JS., Wu, TY., Zhao, Y., Jain, L. (eds) Advances in Smart Vehicular Technology, Transportation, Communication and Applications. VTCA 2017. Smart Innovation, Systems and Technologies, vol 86. Springer, Cham. https://doi.org/10.1007/978-3-319-70730-3_34
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DOI: https://doi.org/10.1007/978-3-319-70730-3_34
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