Abstract: The similar statistical properties between pixels in lossy compression and resampling operation makes the lossy compression image hard to detection. In order to solve the problem, this paper presents a resampling detection algorithm which is applied to lossless compression. It investigates the spectrum characteristics of an image by analyzing the periodicity of interpolating signal and then estimate interpolation coefficient of the image resampling. Experimental results indicate that this algorithm has strong robustness and wide application, and it has precision rate for JPEG lossy compression image resampling detection.

Key words: lossy compression, Fast Fourier Transform(FFT), resampling detection, statistical property, digital image forensics

摘要： 有损压缩与重采样操作在图像像素间产生的相关统计特性导致有损压缩图像难以被检测。为解决该问题，提出一种适用于无损图像的重采样检测算法，利用插值信号的周期性对图像频域特征进行分析，通过估算插值系数实现重采样检测。实验结果表明，该算法鲁棒性强、应用范围广，对于JPEG有损压缩图像的重采样检测具有较高的正确率。

关键词: 有损压缩, 快速傅里叶变换, 重采样检测, 统计特性, 数字图像取证

CLC Number: 

• TP391