Copy move image forgery detection method using steerable pyramid transform and texture descriptor
Copy move image forgery detection method using steerable pyramid transform and texture descriptor
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DOI：
10.1109/eurocon.2013.6625188
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发表时间：
2013-07
期刊：
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通讯作者：
Muhammad Ghulam;Muneer Al-hammadi;M. Hussain;Anwar M. Mirza;G. Bebis
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文献类型：
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作者：
Muhammad Ghulam;Muneer Al-hammadi;M. Hussain;Anwar M. Mirza;G. Bebis
本文提出了一种利用可操纵金字塔变换（SPT）和局部二值模式（LBP）的被动复制移动图像伪造检测方法。SPT应用于图像的灰度版本或YCbCr通道之一。LBP用于描述每个SPT子带的纹理。然后，支持向量机（SVM）利用从SPT子带提取的LBP特征将图像分类为篡改图像或真实图像。实验结果表明，该方法在若干SPT子带组合中具有良好的有效性。
In this paper, we propose a passive copy move image forgery detection method using a steerable pyramid transform (SPT) and Local Binary Pattern (LBP). SPT is applied on a grayscale version or one of the YCbCr channels of an image. LBP is applied to describe the texture in each SPT subband. Then the support vector machine (SVM) uses the LBP feature extracted from SPT sub-bands in classifying images into tampered or authentic images. Experimental results show an excellent effectiveness for the proposed method in some combinations of SPT sub-band.