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山东大学学报(工学版) ›› 2012, Vol. 42 ›› Issue (3): 18-24.

• 机器学习与数据挖掘 • 上一篇    下一篇

利用颜色通道间关系的源相机分类方法

林旭峰,胡永健,刘琲贝   

  1. 华南理工大学电子与信息学院, 广东 广州 510641
  • 收稿日期:2011-11-05 出版日期:2012-06-20 发布日期:2011-11-05
  • 作者简介:林旭峰(1986- ),男,广东梅州人,硕士研究生,主要研究方向为数字图像取证,图像处理与模式识别.E-mail: lxfhfut@gmail.com
  • 基金资助:

    国家自然科学基金资助项目(60772115);华南理工大学中央高校基本科研业务费专项资金资助项目(2012ZM0027)

Source camera identification based on the relationship between color channels

LIN Xu-feng, HU Yong-jian, LIU Bei-bei   

  1. Department of Electronic and Information, South China University of Technology, Guangzhou 510641, China
  • Received:2011-11-05 Online:2012-06-20 Published:2011-11-05

摘要:

颜色滤波阵列(color filter array, CFA)插值会在不同颜色通道间引入相关性。为了提高源相机分类识别的准确率,提出了一种新的利用颜色通道间相关性的源相机分类方法。用不同颜色平面频谱差分的方差图来反映插值算法之间的差异,对来源于不同品牌或型号相机的图像进行分类。所提出的方差图可以有效准确地区分不同的插值算法。实验表明,所提出的算法对现有消费类相机所拍摄的图像有较好的识别率和鲁棒性。

关键词: 相机分类, 图像来源辨识, 插值算法, 颜色通道, 方差图

Abstract:

CFA (color filter array) interpolation will introduce correlations between different color channels. In order to improve the accuracy of source camera identification, a novel source camera classification method based on  inter-channel correlations of images was proposed. Variance maps of the green-to-red and green-to-blue spectrum differences were employed to reflect the differences of interpolation algorithms. Such differences could be used as the evidence to distinguish images taken by cameras of different brands or models. The proposed variance maps could efficiently and accurately differentiate interpolation algorithms. Experimental results showed that the proposed method can achieve high identification accuracy and good robustness for images captured by commercial cameras.

Key words: camera classification, image source identification, interpolation algorithm, color channels, variance map

[1] 宫月红,罗敏*,喻明艳,金杰. Pipeline ADC后台数字校正中传输函数建模算法[J]. 山东大学学报(工学版), 2014, 44(3): 41-47.
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