Novel video camera authentication based on peak to correlation energy of clustered sensor pattern noise

2015 ◽  
Author(s):  
R. S. Remya ◽  
A Busra Beevi
Keyword(s):  
Correlation Energy ◽  
Video Camera ◽  
Pattern Noise ◽  
Sensor Pattern Noise

scholarly journals Enhancing Sensor Pattern Noise via Filtering Distortion Removal

2016 ◽  
Vol 23 (3) ◽  
pp. 381-385 ◽  
Author(s):  
Xufeng Lin ◽  
Chang-Tsun Li
Keyword(s):  
Pattern Noise ◽  
Sensor Pattern Noise

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

2010 ◽  
Vol 2 (1) ◽  
pp. 21-29 ◽  
Author(s):  
Roberto Caldelli ◽  
Irene Amerini ◽  
Francesco Picchioni
Keyword(s):  
Fourier Transform ◽  
Discrete Fourier Transform ◽  
Digital Content ◽  
Digital Photo ◽  
Digital Forensic ◽  
Geometrical Features ◽  
Pattern Noise ◽  
Photo Camera ◽  
Sensor Pattern Noise ◽  
Scanned Images

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.

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

2012 ◽  
pp. 1-8
Author(s):  
Roberto Caldelli ◽  
Irene Amerini ◽  
Francesco Picchioni
Keyword(s):  
Fourier Transform ◽  
Discrete Fourier Transform ◽  
Digital Images ◽  
Experimental Results ◽  
Digital Photo ◽  
Geometrical Features ◽  
Pattern Noise ◽  
Photo Camera ◽  
Sensor Pattern Noise ◽  
Scanned Images

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 paper 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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