基于颜色分量间相关性的图像拼接篡改检测方法

由于目前数码相机在获取自然图像时,都存在着某种颜色滤波阵列（CFA）插值效应,使得图像颜色分量间具有很大的相关性。针对此问题提出基于CFA插值产生插值特性的图像拼接篡改检测方法。首先对图像颜色分量进行CFA插值预测,得到预测误差;然后计算图像块预测误差的局部加权方差得到图像块的CFA特征;最后根据高斯混合参数模型,对提取特征进行分类得到篡改区域。在标准拼接篡改图像数据集中的实验结果显示,此方法能够有效地检测出图像篡改区域的精确位置。

Image splicing detection method based on correlation between color components

When using digital camera to get natural images, there exits Color Filter Array (CFA) interpolation effect, which makes great correlation between color components of the images. A new method was proposed to detect splicing operation by using interpolation characteristics of CFA interpolation process. Firstly, the prediction error was obtained by CFA interpolation for image color components. Then, the local weighted variance of image block predicting error was calculated to get the CFA characteristics of the natural image. Finally, to classify and derive the local splicing area, the Gaussian Mixture Model (GMM) was used according to extracted features. Experimental results in the standard splicing tamper the image data set demonstrate that the proposed method can effectively detect the exact location of the tampered area of the image.