A survey for image resizing

A survey for image resizing
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DOI:
10.1631/jzus.c1400102
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发表时间:
2014-09
期刊:
Journal of Zhejiang University SCIENCE C
影响因子:
--
通讯作者:
Xiao Lin;Yinglan Ma;Lizhuang Ma;Rui-ling Zhang
Xiao Lin;Yinglan Ma;Lizhuang Ma;Rui-ling Zhang
中科院分区:
其他
文献类型:
--
作者:
Xiao Lin;Yinglan Ma;Lizhuang Ma;Rui-ling Zhang

文献摘要

相似文献

图像调整大小是在不同设备上显示图像的关键技术,在过去几年中引起了广泛关注。本文回顾了近年来提出的图像调整大小方法,对其性能进行了详细比较,并揭示了在保留重要区域、最小化失真和提高效率等几个重要问题上提出的主要挑战。此外,本文还讨论了该领域的研究趋势并指出了该领域可能的热点。我们相信这项调查可以为相关研究领域的研究人员提供一些指导,让他们有一个整体和新颖的观点。
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.