| 基于向量机的数字图像鉴别技术研究 |
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| 引用本文： | 李晟,何明一.基于向量机的数字图像鉴别技术研究[J].科学技术与工程,2012,12(10):2323-2327. |
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| 作者姓名： | 李晟 何明一 |
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| 作者单位： | 西北工业大学电子信息学院,陕西省信息获取与处理重点实验室,西安710129 |
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| 基金项目： | 陕西省自然科学基金资助 |
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| 摘 要： | 真实图像和计算机图像的鉴别是数字图像盲取证研究的重要问题之一.分析、研究了真实图像和计算机图像的成像原理,并发展了对这两类图像鉴别的数字方法.该方法从两类图像的高频信息及噪声形成的区别进行特征提取,并利用LIBSVM进行分类识别,实验表明此方法在鉴别图像类型中可以取得较好的分辨效果.
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| 关 键 词： | 真实图像 计算机生成图像 图像统计量 去噪 支持向量机 |
| 收稿时间： | 1/19/2012 8:46:25 PM |
| 修稿时间： | 2/9/2012 2:12:54 PM |
Identification Method for Digital Images by Support Vector Machine |
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| LI Sheng and HE Mingyi.Identification Method for Digital Images by Support Vector Machine[J].Science Technology and Engineering,2012,12(10):2323-2327. |
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| Authors: | LI Sheng and HE Mingyi |
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| Institution: | (Shaanxi Key Laboratory of Information Acquisition and Processing, Northwestern Polytechnical University,Xi’an 710129,P.R.China) |
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| Abstract: | The identification of real image and photorealistic computer graphics is one of the significant problems in blind digital image forensics. A new method to distinguish the real image from photorealistic computer graphics is presented.This method is based on the differences of high frequency and noise between the two images.The LIBSVM is introduced to construct a classifier to do the differentiating job.The experiment results show that the method can discriminate the two types of images effectively. |
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| Keywords: | real image photorealistic computer graphic image statistics denoising support vector machine |
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