通信学报2017，Vol.38Issue(6)：30-38,9.DOI:10.11959/j.issn.1000-436x.2017127
基于概率随机裁剪的图像缩放算法
Content-aware image resizing based on random-carving with probability
摘要
Abstract
To improve the running speed of image resizing, a fast content-aware image resizing algorithm was proposed based on the threshold learning and random-carving with probability. Firstly the important map was calculated by combining the graph-based visual saliency map and gradient map. Then the image threshold value was obtained by radial basis function (RBF) neural network learning. And by the threshold, the original image was separated into the protected part and the unprotected part which was corresponding to the important part and the unimportant part of the original image individually. Finally, the two parts were allocated different resizing scales and the random-carving with probability was applied to them respectively. Experiments results show that the proposed algorithm has lower time cost comparing to the state-of-arts algorithms in MSRA image database, and has a better visual perception on image resizing.关键词
阈值学习/径向基函数/依概率随机裁剪/快速内容感知图像缩放Key words
threshold learning/radial basis function/random-carving with probability/rapid content-aware image resizing分类
信息技术与安全科学引用本文复制引用
郭迎春,侯骏腾,于明,王睿俐..基于概率随机裁剪的图像缩放算法[J].通信学报,2017,38(6):30-38,9.基金项目
国家自然科学基金资助项目(No.60302018) （No.60302018）
天津市科技计划基金资助项目(No.14RCGFGX00846,No.15ZCZDNC00130) （No.14RCGFGX00846,No.15ZCZDNC00130）
河北省自然科学基金资助项目(No.F2015202239)The National Natural Science Foundation of China (No.60302018), Sci-tech Planning Projects Foundation of Tian-jin (No.14RCGFGX00846, No. 15ZCZDNC00130), The Natural Science Foundation of Hebei Province (No.F2015202239) （No.F2015202239）
