Review:A survey for image resizing  

作　　者：Xiao LIN Ying-lan MA Li-zhuang MA Rui-ling ZHANG 

机构地区：[1]Department of Computer Science and Engineering, Shanghai Jiao Tong University [2]Academy of Information Technology, Luoyang Normal University [3]Department of Computer Science, College of Engineering, University of Illinois at Urbana-Champaign

出　　处：《Journal of Zhejiang University-Science C(Computers and Electronics)》2014年第9期697-716,共20页浙江大学学报C辑（计算机与电子（英文版）

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

摘　　要：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.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.

关 键 词：Image resizing Saliency measures CROPPING Seam carving WARPING 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]