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基于超像素和游程直方图的对比度修改检测算法

高铁杠 杨亮 宣妍 佟静

高铁杠, 杨亮, 宣妍, 佟静. 基于超像素和游程直方图的对比度修改检测算法[J]. 电子与信息学报, 2016, 38(11): 2787-2794. doi: 10.11999/JEIT160161
引用本文: 高铁杠, 杨亮, 宣妍, 佟静. 基于超像素和游程直方图的对比度修改检测算法[J]. 电子与信息学报, 2016, 38(11): 2787-2794. doi: 10.11999/JEIT160161
GAO Tiegang, YANG Liang, XUAN Yan, TONG Jing. Contrast Modification Forensic Algorithm Based on Superpixel and Histogram of Run Length[J]. Journal of Electronics & Information Technology, 2016, 38(11): 2787-2794. doi: 10.11999/JEIT160161
Citation: GAO Tiegang, YANG Liang, XUAN Yan, TONG Jing. Contrast Modification Forensic Algorithm Based on Superpixel and Histogram of Run Length[J]. Journal of Electronics & Information Technology, 2016, 38(11): 2787-2794. doi: 10.11999/JEIT160161

基于超像素和游程直方图的对比度修改检测算法

doi: 10.11999/JEIT160161
基金项目: 

天津市自然科学基金(16JCYBJC15700)

Contrast Modification Forensic Algorithm Based on Superpixel and Histogram of Run Length

Funds: 

Tianjin Natural Science Foundation (16JCYBJC 15700)

  • 摘要: 该文提出一种基于超像素和游程直方图的图像对比度修改检测取证算法。算法首先对图像进行超像素分割,并提取每个分割区域的游程直方图特征值,然后将不同方向的特征值进行融合,并进行归一化处理;再计算处理后的特征值数值突变量;最后将区域的数值突变量用支持向量机(SVM)进行分类识别。实验结果表明,和现有的一些算法相比,该文提出的算法计算复杂度低,在多种不同的测试数据库上都具有良好的识别性能。此外,在区域篡改检测实验中,该算法不仅可以定位出篡改区域,还能准确地描绘出篡改区域的轮廓形状。
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出版历程
  • 收稿日期:  2016-02-19
  • 修回日期:  2016-08-01
  • 刊出日期:  2016-11-19

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