Image Splicing Detection Using Multi-resolution Histogram

Authors:
Jin Liu;Hefei Ling;Fuhao Zou;Zhengding Lu
Affiliations:
Intelligent and Distributed Computing Lab, College of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China 430074;Intelligent and Distributed Computing Lab, College of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China 430074;Intelligent and Distributed Computing Lab, College of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China 430074;Intelligent and Distributed Computing Lab, College of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China 430074
Venue:
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Year:
2009

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Abstract

In this paper, we investigate the prospect of using multi-resolution histogram of an image as features to detect image splicing which is the operations that copy and move a part of an image to another destination. Multi-resolution histogram is a kind of statistical feature which contains image's spatial information. Then Support Vector Machine (SVM) is used to train and test as classifier for estimating whether a given digital image is a splicing image or an authentic image. The experiment shows that the method is simplicity and efficiency.