A complete passive blind image copy-move forensics scheme based on compound statistics features

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• 作者：Fei  ; Peng^a ;   ; ^{eepengf@yahoo.com.cn} ; Yun-ying  ; Nie^a ;   ; ^{jessie_nie@yahoo.com.cn} ;   ; ^{sunnudt@163.com} ; Min  ; Long^b ;   ; ^{caslongm@yahoo.com.cn}
• 关键词：Digital image forensics ; Sensor pattern noise ; Wavelet transform based de-noise ; Tampering location
• 刊名：Forensic Science International
• 出版年：2011
• 出版时间：10 October 2011
• 年：2011
• 卷：212
• 期：1-3
• 页码：e21-e25
• 全文大小：522 K

文摘

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.