| 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. |
| 关键词: 内容感知缩放 统计特性 概率图 图像篡改 |
| DOI：10.13328/j.cnki.jos.005413 |
| 分类号: |
| 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） |
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| Research on Detection Method of Content-Aware Image Resizing |
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HU Hao-Hui1,2, NI Rong-Rong1,2, ZHAO Yao1,2
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1.Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China;2.Beijing Key Laboratory of Advanced Information Science and Network Technology(Beijing Jiaotong University), Beijing 100044, China
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| 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. |
| Key words: content-aware resizing statistic characteristics probability map image forgery |
