Sensor-Pattern-Noise Map Reconstruction in Source Camera Identification for Size-Reduced Images

スポンサーリンク

概要

• 論文の詳細を見る

• 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.

• The Institute of Electronics, Information and Communication Engineersの論文

著者

• Hamamoto Takayuki

  Graduate School of Engineering Tokyo University of Science

• HOSAKA Tadaaki

  School of Management, Tokyo University of Science

• WATANABE Joji

  Graduate School of Engineering, Tokyo University of Science

関連論文

• FREE VIEWPOINT IMAGE RECONSTRUCTION FROM 3-D MULTI-FOCUS IMAGING SEQUENCES AND ITS IMPLEMENTATION BY CELL-BASED COMPUTING(International Workshop on Advanced Image Technology 2009)
• Image Quality Enhancement for Single-Image Super Resolution Based on Local Similarities and Support Vector Regression
• Sensor-Pattern-Noise Map Reconstruction in Source Camera Identification for Size-Reduced Images

スポンサーリンク