模式识别与人工智能
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  2012, Vol. 25 Issue (2): 280-284    DOI:
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Digital Image Forensics Based on Local Energy Variance Properties
QIAO Tong, QIAN Zhen-Xing, ZHANG Xin-Peng, WANG Wen-Wen
School of Communication and Information Engineering,Shanghai University,Shanghai 200072

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Abstract  How to identify photographic images and computer graphics efficiently is more and more important in image forensics. An authentication algorithm for digital images is proposed using the correlations between photographic images and computer graphics. The calculated local energy dithering in the frequency domain is used to distinguish photographic images and computer-generated images. Moreover, compared with Gallagher’s method, the proposed method is still available when both kinds of images above are attacked by CFA interpolation or zooming operation. The experimental results show that the proposed algorithm identifies better with the capability of anti-forensics resistance.
Key wordsDigital Image Forensics      Computer Generated Image      Anti-Forensics      Local Energy Variance     
Received: 05 May 2011     
ZTFLH: TP751.1  
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QIAO Tong
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QIAO Tong,QIAN Zhen-Xing,ZHANG Xin-Peng等. Digital Image Forensics Based on Local Energy Variance Properties[J]. , 2012, 25(2): 280-284.
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http://manu46.magtech.com.cn/Jweb_prai/EN/      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2012/V25/I2/280
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