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Content Provider | IEEE Xplore Digital Library |
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Author | Taimori, A. Razzazi, F. Behrad, A. Ahmadi, A. Babaie-Zadeh, M. |
Copyright Year | 2012 |
Description | Author affiliation: Dept. of Elec. & Comp. Eng., Islamic Azad Univ., Tehran, Iran (Taimori, A.; Razzazi, F.) || Dept. of Elec. Eng., Sharif Univ. of Technol., Tehran, Iran (Babaie-Zadeh, M.) || Dept. of Electr. & Comput. Eng., K.N. Toosi Univ. of Technol., Tehran, Iran (Ahmadi, A.) || Fac. of Eng., Shahed Univ., Tehran, Iran (Behrad, A.) |
Abstract | This paper presents a new transform domain to evaluate the goodness of fit of natural image data to the common Benford's Law. The evaluation is made by three statistical fitness criteria including Pearson's chi-square test statistic, normalized cross correlation and a distance measure based on symmetrized Kullback-Leibler divergence. It is shown that the serial combination of variance filtering and block 2-D discrete cosine transform reveals the best goodness of fit for the first significant digit. We also show that the proposed transform domain brings reasonable fit for the second, third and fourth significant digits. As an application, the proposed transform domain is utilized to detect image manipulation by distinguishing single compressed images from doubly compressed ones. |
Starting Page | 000240 |
Ending Page | 000244 |
File Size | 1015803 |
Page Count | 5 |
File Format | |
e-ISBN | 9781467356060 |
DOI | 10.1109/ISSPIT.2012.6621294 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2012-12-12 |
Publisher Place | Vietnam |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Discrete wavelet transforms Matched filters Lighting variance filter Benford's Law significant digits statistics image forensics double JPEG discrete cosine transform |
Content Type | Text |
Resource Type | Article |
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