Forensics feature analysis in quaternion wavelet domain for distinguishing photographic images and computer graphics
Forensics feature analysis in quaternion wavelet domain for distinguishing photographic images and computer graphics
复制标题
用于区分摄影图像和计算机图形的四元数小波域取证特征分析
DOI：
10.1007/s11042-016-4153-0
复制
发表时间：
2017-11-01
影响因子：
3.6
通讯作者：
Ye, Jingyu
中科院分区：
文献类型：
--
作者：
Wang, Jinwei;Li, Ting;Ye, Jingyu
在本文中，为数字图像取证提出了基于四元小波变换（QWT）的新型特征。与离散小波变换（DWT）和Contourlet小波变换（CWT）相比，QWT产生参数，即一个幅度和三个角度，这些角度提供了更多有价值的信息，以区分照相图像（PG）图像和计算机产生（CG）图像。进行了一些理论分析，并进行了比较实验。相应的结果表明，所提出的方案比FARID的方案比A-Zparlak的方案实现了18个percents的检测准确性和12个percents的提高。这可能是第一次将QWT引入图像取证，但改进令人鼓舞。
In this paper, a novel set of features based on Quaternion Wavelet Transform (QWT) is proposed for digital image forensics. Compared with Discrete Wavelet Transform (DWT) and Contourlet Wavelet Transform (CWT), QWT produces the parameters, i.e., one magnitude and three angles, which provide more valuable information to distinguish photographic (PG) images and computer generated (CG) images. Some theoretical analysis are done and comparative experiments are made. The corresponding results show that the proposed scheme achieves 18 percents’ improvements on the detection accuracy than Farid’s scheme and 12 percents than Özparlak’s scheme. It may be the first time to introduce QWT to image forensics, but the improvements are encouraging.