基于Bi-Laplacian润饰图像的盲鉴别算法

图像润饰是一种广泛应用的图像篡改手段。为了对润饰的图像实施盲检测，提出了一种图像盲鉴别算法。该算法首先查找图像中每个分块并把其插入到KD树中，搜索到值相同或最近的粗略匹配块，然后使用位置向量的分层聚类法群集块对消除杂散配对，最后应用7-tap拉普拉斯过滤器并统计可疑块的零连通分量来消除误报，从而定位出精确的润饰篡改区域。实验表明,该方法能有效精确地识别出修复刷对非压缩图像和高品质压缩图像等一类图像的润饰篡改技术的使用。当应用到压缩级别较高的图像时，如果润饰的区域足够大，依然会获得准确的结果。

Blind identification algorithm for retouched images based on Bi-Laplacian

Image retouching is a technique widespreadly used in image tampering.To implement image retouching blind detection,a blind identification algorithm for image was proposed.The algorithm firstly searched for each block in image,and inserted each block into the KD tree,thus obtaining the same value or the nearest match block.Then it used the hierarchical clustering of the position vector to eliminate the scattered matching.Finally,it applied the 7-tap Laplacian filter to count weight of zero connectivity of su...