中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Detecting median filtering via two-dimensional AR models of multiple filtered eesiduals

文献类型:期刊论文

作者Jianquan Yang; Honglei Ren; Guopu Zhu; Jiwu Huang; Yun-Qing Shi
刊名Multimedia Tools and Applications
出版日期2017
文献子类期刊论文
英文摘要Median filtering, being an order statistic filtering, has been widely used in image denoising and recently also in image anti-forensics and anti-steganalysis. In the past few years, several methods have been developed for median filtering detection. However, it is still a challenging task to detect median filtering in JPEG compressed images. In this paper, we propose a novel method to solve this challenging task. We first generate median filtered residual (MFR), average filtered residual (AFR) and Gaussian filtered residual (GFR) by calculating the differences between an original image and its filtered images. Then, we propose to use two-dimensional autoregressive (2D-AR) model to characterize MFR, AFR and GFR separately, and further combine the 2D-AR coefficients of these three residuals into a set of features. Finally, the extracted feature set is fed into a support vector machine classifier for training and detection. Extensive experiments have demonstrated that compared with existing methods, the proposed one can achieve a considerable improvement in detecting median filtering in heavily compressed images.
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语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/12554]  
专题深圳先进技术研究院_数字所
作者单位Multimedia Tools and Applications
推荐引用方式
GB/T 7714
Jianquan Yang,Honglei Ren,Guopu Zhu,et al. Detecting median filtering via two-dimensional AR models of multiple filtered eesiduals[J]. Multimedia Tools and Applications,2017.
APA Jianquan Yang,Honglei Ren,Guopu Zhu,Jiwu Huang,&Yun-Qing Shi.(2017).Detecting median filtering via two-dimensional AR models of multiple filtered eesiduals.Multimedia Tools and Applications.
MLA Jianquan Yang,et al."Detecting median filtering via two-dimensional AR models of multiple filtered eesiduals".Multimedia Tools and Applications (2017).

入库方式: OAI收割

来源:深圳先进技术研究院

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