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Sensor-Pattern-Noise Map Reconstruction in Source Camera Identification for Size-Reduced Images Joji WATANABE Tadaaki HOSAKA Takayuki HAMAMOTO Publication IEICE TRANSACTIONS on Information and Systems Vol.E96-D No.8 pp.1882-1885 Publication Date: 2013/08/01 Online ISSN: 1745-1361 DOI: 10.1587/transinf.E96.D.1882 Print ISSN: 0916-8532 Type of Manuscript: LETTER Category: Pattern Recognition Keyword: digital forensics, source camera identification, sensor pattern noise, size-reduced image, reconstruction, Full Text: PDF(525KB)>>
Summary: For source camera identification, we propose a method to reconstruct the sensor pattern noise map from a size-reduced query image by minimizing an objective function derived from the observation model. Our method can be applied to multiple queries, and can thus be further improved. Experiments demonstrate the superiority of the proposed method over conventional interpolation-based magnification algorithms. | ||||||||||
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