Journal of Software:2018.29(4):1002-1016

(北京交通大学 信息科学研究所, 北京 100044;现代信息科学与网络技术北京市重点实验室(北京交通大学), 北京 100044)
Research on Detection Method of Content-Aware Image Resizing
HU Hao-Hui,NI Rong-Rong,ZHAO Yao
(Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China;Beijing Key Laboratory of Advanced Information Science and Network Technology(Beijing Jiaotong University), Beijing 100044, China)
Chart / table
Similar Articles
Article :Browse 1773   Download 1411
Received:April 30, 2017    Revised:June 26, 2017
> 中文摘要: 针对可用于图像篡改的内容感知缩放技术,提出了一种基于概率Map图统计特征的内容感知缩放检测算法.该算法利用概率Map图以反映图像是否经过内容感知缩放操作,并利用新提出的积分投影与局部统计特征来检测篡改图像.而后利用分类器进行分类训练,从而有效识别基于内容感知缩放操作的图像篡改.实验结果显示,所提算法能够区分出原始图像与篡改图像,并具有较高的正确检测率.
Abstract:In order to deal with the forged image using content-aware resizing, the content-aware resizing detection algorithm based on statistic characteristics of probability map is proposed in this paper. The method uses the probability map to reflect whether the image has been processed by content-aware resizing operation. In addition the proposed integral projection and local statistic characteristics are used to detect the tampered image. Trained by classifier, this method can then identify the content-aware resizing forgery more effectively. The experimental results reveal that the proposed detection algorithm can distinguish between original images and manipulation images with high detection accuracy.
文章编号:     中图分类号:    文献标志码:
基金项目:国家重点研发计划(2016YFB0800404);国家自然科学基金(61672090,61332012);中央高校基本科研业务费专项基金(2015JBZ002) 国家重点研发计划(2016YFB0800404);国家自然科学基金(61672090,61332012);中央高校基本科研业务费专项基金(2015JBZ002)
Foundation items:National Key Research and Development of China (2016YFB 0800404); National Natural Science Foundation of China (61672090, 61332012); Fundamental Research Funds for the Central Universities (2015JBZ002)
Reference text:


HU Hao-Hui,NI Rong-Rong,ZHAO Yao.Research on Detection Method of Content-Aware Image Resizing.Journal of Software,2018,29(4):1002-1016