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A survey for image resizing

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Abstract

Image resizing is a key technique for displaying images on different devices, and has attracted much attention in the past few years. This paper reviews the image resizing methods proposed in recent years, gives a detailed comparison on their performance, and reveals the main challenges raised in several important issues such as preserving an important region, minimizing distortions, and improving efficiency. Furthermore, this paper discusses the research trends and points out the possible hotspots in this field. We believe this survey can give some guidance for researchers from relevant research areas, offering them an overall and novel view.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China

    Xiao Lin & Li-zhuang Ma

  2. Academy of Information Technology, Luoyang Normal University, Luoyang, 471022, China

    Xiao Lin & Rui-ling Zhang

  3. Department of Computer Science, College of Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61820, USA

    Ying-lan Ma

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  1. Xiao Lin
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  2. Ying-lan Ma
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  3. Li-zhuang Ma
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  4. Rui-ling Zhang
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Correspondence to Li-zhuang Ma.

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Project supported by the National Natural Science Foundation of China (Nos. U1304616, 61133009, 61272032, 61303093, 61202154, and 61370174) and the National Basic Research Program (973) of China (No. 2011CB302203)

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Lin, X., Ma, Yl., Ma, Lz. et al. A survey for image resizing. J. Zhejiang Univ. - Sci. C 15, 697–716 (2014). https://doi.org/10.1631/jzus.C1400102

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  • DOI: https://doi.org/10.1631/jzus.C1400102

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