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http://dx.doi.org/10.5573/ieie.2015.52.8.067

Forensic Decision of Median Filtering Image Using a Coefficient of Variation of Fourier Transform  

RHEE, Kang Hyeon (Chosun University, Dept. of Electronics Eng. /School of Design and Creative Eng)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.52, no.8, 2015 , pp. 67-73 More about this Journal
Abstract
In a distribution of digital image, there is a serious problem that is the image alteration by a forger. For the problem solution, this paper proposes the forensic decision algorithm of a median filtering (MF) image using the feature vector based on a coefficient of variation (c.v.) of Fourier transform. In the proposed algorithm, we compute Fourier transform (FT) coefficients of row and column line respectively of an image first, then c.v. between neighboring lines is computed. Subsquently, 10 Dim. feature vector is defined for the MF detection. On the experiment of MF detection, the proposed scheme is compared to MFR (Median Filter Residual) and Rhee's MF detection schemes that have the same 10 Dim. feature vector both. As a result, the performance is excellent at Unaltered, JPEG (QF=90), Down scaling (0.9) and Up scaling (1.1) images, and it showed good performance at Gaussian filtering ($3{\times}3$) image. However, in the performance evaluation of all measured items of the proposed scheme, AUC (Area Under ROC (Receiver Operating Characteristic) Curve) by the sensitivity and 1-specificity approached to 1 thus, it is confirmed that the grade of the performance evaluation is rated as 'Excellent (A)'.
Keywords
Median Filtering Forensic; Median Filtering Detection; Median Filter Residual (MFR); Fourier transform; Coefficient of Variation (c.v.);
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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9 http://bows2.ec-lille.fr/ (2015.4.22)
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