Using improved imaging sensor pattern noise for source camera identification

Yongjian Hu, Chao Jian, Chang Tsun Li

Research output: Book chapter/Published conference paperConference paper

12 Citations (Scopus)

Abstract

The imaging sensor (e.g., CCD) pattern noise is a noise-like spread-spectrum signal inherently cast onto every digital image by each imaging device. It has been recognized as a reliable device fingerprint for source camera/scanner identification and image origin verification. However, one weakness of current sensor pattern noise-based camera fingerprints is that their construction only uses information from single color channel images. The resultant fingerprint can not comprehensively reflect characteristics of the camera sensor array. Taking into account the characteristics of the CFA (color filter array) structure, this work proposes a new way to construct camera fingerprints using information from all of the three single color channel images. Good detection results have been achieved on different camera models.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Multimedia and Expo, ICME 2010
Pages1481-1486
Number of pages6
DOIs
Publication statusPublished - 2010
Event2010 IEEE International Conference on Multimedia and Expo, ICME 2010 - Singapore, Singapore
Duration: 19 Jul 201023 Jul 2010

Conference

Conference2010 IEEE International Conference on Multimedia and Expo, ICME 2010
CountrySingapore
CitySingapore
Period19/07/1023/07/10

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  • Cite this

    Hu, Y., Jian, C., & Li, C. T. (2010). Using improved imaging sensor pattern noise for source camera identification. In 2010 IEEE International Conference on Multimedia and Expo, ICME 2010 (pp. 1481-1486). [5582952] https://doi.org/10.1109/ICME.2010.5582952