Detection of splicing forgery using wavelet decomposition

Authenticity of an image is an important issue in many social areas such as Journalism, Forensic investigation, Criminal investigation and Security services etc. and digital images can be easily manipulated with the help of sophisticated photo editing software and high-resolution digital cameras. So there is a requirement for the implementation of new powerful and efficient algorithms for forgery detection of a tampered images. The splicing is the common forgery in which two images are combine and make a single composite and the duplicated region is retouched by performing operations like edge blurring to get the appearance of the authentic image. In this paper, we have proposed a new computationally efficient algorithm for splicing (copy-create) forgery detection of an image using block matching method. The proposed method achieve an accuracy of 87.75% within a small processing time by modeling the threshold.