title: A complete passive blind image copy-move forensics scheme based on compound statistics features.
abstract: Since most sensor pattern noise based image copy-move forensics methods require a known reference sensor pattern noise, it generally results in non-blinded passive forensics, which significantly confines the application circumstances. In view of this, a novel passive-blind image copy-move forensics scheme is proposed in this paper. Firstly, a color image is transformed into a grayscale one, and wavelet transform based de-noising filter is used to extract the sensor pattern noise, then the variance of the pattern noise, the signal noise ratio between the de-noised image and the pattern noise, the information entropy and the average energy gradient of the original grayscale image are chosen as features, non-overlapping sliding window operations are done to the images to divide them into different sub-blocks. Finally, the tampered areas are detected by analyzing the correlation of the features between the sub-blocks and the whole image. Experimental results and analysis show that the proposed scheme is completely passive-blind, has a good detection rate, and is robust against JPEG compression, noise, rotation, scaling and blurring.
authors: School of Information Science and Engineering, Hunan University, Changsha 410082, PR China. eepengf@yahoo.com.cn
authors: Fei
authors: F
authors: Peng
authors: Yun-ying
authors: YY
authors: Nie
authors: Min
authors: M
authors: Long
mesh_terms: D000465:Algorithms; D001699:Biometry / Q000379:methods; D044962:Data Compression; D005554:Forensic Medicine / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D008962:Models, Theoretical; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D012984:Software