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首页> 外文期刊>International journal of digital crime and forensics >Contrast Modification Forensics Algorithm Based on Merged Weight Histogram of Run Length
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Contrast Modification Forensics Algorithm Based on Merged Weight Histogram of Run Length

机译：基于游程长度合并权直方图的对比度修改取证算法

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摘要

A novel image forensic algorithm against contrast modification based on merged weight histogram of run length is proposed. In the proposed algorithm, the run length histogram features were firstly extracted, and then those of different orientation were subsequently merged; after normalization of the prior features, the authors calculated leaps in the histogram numerically; lastly, the generated features of authentic and tampered images were trained by a SVM classifier. Large amounts of experiments show that, the proposed algorithm has low cost of computation complexity, compared with some existing scheme, and it has better performance with many test databases, furthermore, the proposed algorithm can effectively detect local contrast modification of image.
机译：提出了一种新的基于游程长度合并权重直方图的反差图像取证算法。该算法首先提取了游程直方图特征，然后对不同方向的特征进行了合并。在对先前特征进行归一化之后，作者通过数值计算了直方图中的跳跃。最后，由SVM分类器对真实图像和篡改图像的生成特征进行了训练。大量实验表明，与现有方案相比，该算法具有较低的计算复杂度，并且在多个测试数据库中具有较好的性能，并且可以有效地检测图像的局部对比度变化。

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