利用彩色图像信息的源相机辨识策略

Source camera identification schemes with color image information

目前基于模式噪声的源相机辨识方法大都只在单颜色通道图像上进行,或是对三个单色通道图像上的检测结果简单地求均值,这显然不能全面反映成像传感器的特征。通过分析相机图像生成过程中马赛克图像插值过程的特点,提出三种新的基于彩色图像信息的源相机辨识策略。实验结果表明,所提策略具有更好的辨识效果且需要的特征点少。

At present, most of the pattern noise-based source camera identification methods only utilize forensic information from one single-channel image, or simply calculated the average of the test results from three single-channel images. This apparently cannot fully reflect the characteristics of imaging sensors. Through analyzing the characteristics of interpolation algorithms in the mosaic image generation process, three color image-based source camera identification schemes were proposed. Experimental results show that the new method has better identification capability and needs fewer image pixels.