Blind Detection of Digital Forgery Image Based on the Local Entropy of the Gradient

Authors:
Zhe Li;Jiang-Bin Zheng
Affiliations:
MailBox 886, Department of Computer Science and Engineering, School of Computer, Northwestern Polytechnical University, Xi'an, China 710129;MailBox 886, Department of Computer Science and Engineering, School of Computer, Northwestern Polytechnical University, Xi'an, China 710129
Venue:
Digital Watermarking
Year:
2009

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Abstract

A novel method based on the local entropy of the gradient is proposed to detect the forged digital images. The method can discover some traces of artificial feather operation, which is necessary to create a smooth transition between a forged image region and its surroundings. The local entropy of the gradient is used to determine the forged region, and the credibility is computed to show the reality level of the image. Results of experiments on several forged images demonstrate the effectiveness of the algorithm.