Edge-based blur metric for tamper detection

被引：0

作者：

Cao, Gang ^{[1
]}

Zhao, Yao ^{[1
]}

Ni, Rongrong ^{[1
]}

机构：

[1] Institute of Information Science, Beijing Jiaotong University, No.3 Shangyuan Residence, Haidian District, Beijing, China

来源：

Journal of Information Hiding and Multimedia Signal Processing | 2010年 / 1卷 / 01期

关键词：

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to check the aboriginality and integrity of a digital photograph, a blind forensics scheme for detecting blur manipulation is proposed in this paper. A costeffective local blur estimator is designed to measure the blurriness of each pixel along a doubted edge. Consistency metric of such a blurriness sequence is constructed based on the deviation from its linear fitting. Then the metric is used as evidence for identifying blur operation. Experimental results both on synthetic and natural images have shown the efficiency of our proposed blur forensics scheme. © 2010.

引用

页码：20 / 27

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