New Features to Identify Computer Generated Images
New Features to Identify Computer Generated Images
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DOI：
10.1109/icip.2007.4380047
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发表时间：
2007-11
期刊：
影响因子：
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通讯作者：
A. Dirik;Sevinc Bayram;H. Sencar;N. Memon
中科院分区：
文献类型：
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作者：
A. Dirik;Sevinc Bayram;H. Sencar;N. Memon
计算机生成的图像与真实的图像的区分变得越来越重要。在本文中，我们提出了使用新的功能来区分计算机生成的图像从真实的图像。所提出的功能是基于图像的采集过程中的差异。更具体地说，使用去马赛克和色差的痕迹来区分计算机生成的图像与数码相机图像。据观察，前者的功能表现非常好，高品质的图像，而后者的功能表现一致，在很宽的范围内的压缩值。实验结果表明，所提出的功能是能够提高国家的最先进的技术的准确性。
Discrimination of computer generated images from real images is becoming more and more important. In this paper, we propose the use of new features to distinguish computer generated images from real images. The proposed features are based on the differences in the acquisition process of images. More specifically, traces of demosaicking and chromatic aberration are used to differentiate computer generated images from digital camera images. It is observed that the former features perform very well on high quality images, whereas the latter features perform consistently across a wide range of compression values. The experimental results show that proposed features are capable of improving the accuracy of the state-of-the-art techniques.