Please wait a minute...
FITEE
Front. Inform. Technol. Electron. Eng.  2014, Vol. 15 Issue (9): 697-716    DOI: 10.1631/jzus.C1400102
    
图像缩放方法综述
Xiao Lin, Ying-lan Ma, Li-zhuang Ma, Rui-ling Zhang
Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; Academy of Information Technology, Luoyang Normal University, Luoyang 471022, China; Department of Computer Science, College of Engineering, University of Illinois at Urbana-Champaign, IL 61820, USA
A survey for image resizing
Xiao Lin, Ying-lan Ma, Li-zhuang Ma, Rui-ling Zhang
Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; Academy of Information Technology, Luoyang Normal University, Luoyang 471022, China; Department of Computer Science, College of Engineering, University of Illinois at Urbana-Champaign, IL 61820, USA
 全文: PDF 
摘要： 研究目的：对图像缩放方法进行全面总结，为今后图像缩放研究提供新视角。
\n文章内容：通过对重要区域保持、最小化变形和性能方面的分析，总结各种图像缩放方法的优缺点。首先，分析了图像显著性检测方法。其次，将图像缩放方法分为缩放、裁剪、缝裁剪、变形、多算子和其他方法，总结了近年提出的一些视频缩放方法。最后，总结图像缩放方法，指出未来研究热点包括：基于视频显著性的视频缩放技术的深入研究，具有更多语义信息、复杂结构和不同拓扑关系的图像缩放方法的研究，对特殊场景图像的缩放，如何更加高效地进行图像缩放，等。
关键词： 图像缩放;  显著性检测;  裁剪;  缝裁剪;  变形    
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.
Key words: Image resizing    Saliency measures    Cropping    Seam carving    Warping
收稿日期: 2014-03-21 出版日期: 2014-09-06
CLC:  TP391  
服务　　
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章　　
Xiao Lin
Ying-lan Ma
Li-zhuang Ma
Rui-ling Zhang

引用本文:

Xiao Lin, Ying-lan Ma, Li-zhuang Ma, Rui-ling Zhang. A survey for image resizing. Front. Inform. Technol. Electron. Eng., 2014, 15(9): 697-716.

链接本文:

http://www.zjujournals.com/xueshu/fitee/CN/10.1631/jzus.C1400102    或    http://www.zjujournals.com/xueshu/fitee/CN/Y2014/V15/I9/697

[1] Yan-hong Liu, Juan Cao, Zhong-gui Chen, Xiao-ming Zeng. 射线与三角Bézier曲面交点的混合裁剪算法[J]. Front. Inform. Technol. Electron. Eng., 2016, 17(10): 1018-1030.
[2] Xun Liu, Yin Zhang, San-yuan Zhang, Ying Wang, Zhong-yan Liang, Xiu-zi Ye. 基于高清监控图像的工程车辆检测算法[J]. Front. Inform. Technol. Electron. Eng., 2015, 16(5): 346-357.
[3] Zheng Liu, Wei-ming Wang, Xiu-ping Liu, Li-gang Liu. 尺度自动感知的几何体变形技术[J]. Front. Inform. Technol. Electron. Eng., 2014, 15(9): 764-775.
[4] Gang Xu, Li-shan Deng, Wen-bing Ge, Kin-chuen Hui, Guo-zhao Wang, Yi-gang Wang. 基于最小二乘方法的拟保角网格变形[J]. Front. Inform. Technol. Electron. Eng., 2014, 15(9): 754-763.
[5] Zhi-qiang Feng, Cun-gen Liu, Hu Huang. 基于区间值模糊粗糙集的知识建模及相似性推理：焊接变形预报[J]. Front. Inform. Technol. Electron. Eng., 2014, 15(8): 636-650.