Image Splicing Detection Using Camera Characteristic Inconsistency
We propose a passive image splicing detection method based on consistency check of camera characteristics among different areas in an image. For a given image, we compute color sharpness from pixels and inter-channel singular value difference. Each color channel is independently down-sampled with a factor of two in the x and y directions. The downsampled color image is then expanded by zeropadding, and interpolated to produce an estimate of the CFA-filtered version of the image. Difference of singular values between the interpolated image and the given image is computed. Color sharpness and singular value difference are fed into a statistical classifier to accomplish the image authentication. Experiments on a set of 363 natural and spliced images show satisfactory accuracy of the method.
Zhen Fang Shuozhong Wang Xinpeng Zhang
School of Communication and Information Engineering, Shanghai University Shanghai 200072, P.R. China
国际会议
武汉
英文
20-24
2009-11-18（万方平台首次上网日期，不代表论文的发表时间）