Forgery detection and application of digital geological images based on JPEG compression techniques

被引：0

作者：

Liu, Zhu-Long ^{[1
,2
]}

Zhao, Yu-Qian ^{[1
,2
]}

Liao, Miao ^{[1
,2
]}

Zhang, Jun-Kai ^{[1
,2
]}

Dai, Ta-Gen ^{[1
,2
]}

机构：

[1] Key Laboratory of Metallogenic Prediction of Nonferrous Metals, Ministry of Education, Central South University, Changsha 410083, China

[2] School of Geosciences and Info-Physics, Central South University, Changsha 410083, China

来源：

Zhongguo Youse Jinshu Xuebao/Chinese Journal of Nonferrous Metals | 2012年 / 22卷 / 03期

关键词：

Authentication - Image compression - Copyrights - Geology;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Based on the JPEG compression principle, the three forgery detection methods including block artifact grid (BAG), the block posterior probability map (BPPM) and the averaged sum of absolute difference (ASAD) methods were investigated, and the methods were applied to detecting the authenticity of the digital geological images. These methods are efficient for the detection of copy-paste, inpainting and filling tampered images, and can be used to locate the tampered regions. The efficiency and the detection results of three different tampered region detecting algorithms were verified and analyzed. The experimental results show that these methods can be effectively used for the digital geologic images tampering detection, and hence further the information service for the clustering and industry of digital geological image were provided. Besides, these methods have high theoretical and practical value for the copyright protection and authenticity detection of massive digital geological image.

引用

页码：961 / 969