Title :
Digital camera identification based on the clustered pattern noise of image sensors
Author :
Tomioka, Yoichi ; Kitazawa, Hitoshi
Author_Institution :
Dept. of Electr. & Electron. Eng., Tokyo Univ. of Agric. & Technol., Tokyo, Japan
Abstract :
Along with the popularization of digital cameras, the reliable identification of digital image source is becoming increasingly important as an evidence in a court and some help of investigations. In this paper, we propose an enhanced digital camera identification method using the pixel non-uniformity (PNU) noise of image sensors. By clustering the PNU noises, the proposed method extracts the robust features of image sensors to the random noise, scene content, and image processing engine such as the noise reduction. In the experiments, the proposed method shows the high identification accuracy even for latest digital cameras.
Keywords :
cameras; feature extraction; image denoising; image sensors; pattern clustering; PNU noise; clustered pattern noise; digital camera identification enhancement; digital image source identification; feature extraction; image processing engine; image sensors; noise reduction; pixel nonuniformity noise; random noise; Accuracy; Correlation; Digital cameras; Image sensors; Noise; Sensors; camera identification; clustering; image processing engine; pixel non-uniformity noise; random noise;
Conference_Titel :
Multimedia and Expo (ICME), 2011 IEEE International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-61284-348-3
Electronic_ISBN :
1945-7871
DOI :
10.1109/ICME.2011.6012060