Forensic Method of Digital Image Source Based on Wavelet Higher-order Statistics

WANG Zhi-hong, HUANG Hui-fen

Packaging Engineering ›› 2017 ›› Issue (17) : 179-182.

Packaging Engineering ›› 2017 ›› Issue (17) : 179-182.

Forensic Method of Digital Image Source Based on Wavelet Higher-order Statistics

  • WANG Zhi-hong1, HUANG Hui-fen2
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Abstract

The work aims to propose an image source forensic method based on the wavelet higher-order statistics, in order to identify whether the image is from a camera or other electronic devices. Based on the influence of the generation path on the image properties and the mathematical statistics, and by comparing the influence of the generation path of the digital images from different sources on their respective property, the unique properties of images from different sources in transform domain were studied from the perspective of multi-scale analysis of the image. The high-order statistical characteristics of the wavelet domain in the digital image were extracted to determine the source of the image. The experimental results showed that the average test accuracy rate was up to 97.9% for the three kinds of images from the computer software, digital cameras and scanners. The proposed method has higher efficiency and accuracy in determining the source of the image.

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WANG Zhi-hong, HUANG Hui-fen. Forensic Method of Digital Image Source Based on Wavelet Higher-order Statistics[J]. Packaging Engineering. 2017(17): 179-182

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