Image Splicing Detection Based on Quality Metrics and Analysis of Variance
Xiaoxiang Zhang · Jisuanji gongcheng · 2011
Aiming at the problem of digital image slicing,this paper proposes a detection method based on image qualities and analysis of variance.Four kinds of noise are used to simulated the tampering of image,and analysis of variance is used to select the image quality measures which are more sensitive to image splicing.Combined with the characteristic function moments of wavelet sub-bands,all features from given image and its predicted error image are extracted.LibSVM is adopted as the classifier to train and test the given image.Simulation results show that average detection accuracy of the proposed method is increased by 1.3%~15% compared with other methods.