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A DFT-Based Analysis to Discern Between Camera and Scanned Images

A DFT-Based Analysis to Discern Between Camera and Scanned Images

Roberto Caldelli, Irene Amerini, Francesco Picchioni
Copyright: © 2010 |Volume: 2 |Issue: 1 |Pages: 9
ISSN: 1941-6210|EISSN: 1941-6229|ISSN: 1941-6210|EISBN13: 9781616929404|EISSN: 1941-6229|DOI: 10.4018/jdcf.2010010102
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MLA

Caldelli, Roberto, et al. "A DFT-Based Analysis to Discern Between Camera and Scanned Images." IJDCF vol.2, no.1 2010: pp.21-29. http://doi.org/10.4018/jdcf.2010010102

APA

Caldelli, R., Amerini, I., & Picchioni, F. (2010). A DFT-Based Analysis to Discern Between Camera and Scanned Images. International Journal of Digital Crime and Forensics (IJDCF), 2(1), 21-29. http://doi.org/10.4018/jdcf.2010010102

Chicago

Caldelli, Roberto, Irene Amerini, and Francesco Picchioni. "A DFT-Based Analysis to Discern Between Camera and Scanned Images," International Journal of Digital Crime and Forensics (IJDCF) 2, no.1: 21-29. http://doi.org/10.4018/jdcf.2010010102

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Abstract

Digital images are generated by different sensors, understanding which kind of sensor has acquired a certain image could be crucial in many application scenarios where digital forensic techniques operate. In this article a new methodology which permits to establish if a digital photo has been taken by a photo-camera or has been scanned by a scanner is presented. The specific geometrical features of the sensor pattern noise introduced by the sensor are investigated by resorting to a DFT (Discrete Fourier Transform) analysis and consequently the origin of the digital content is assessed. Experimental results are provided to witness the reliability of the proposed technique.

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