图像鲁棒哈希认证方案

针对图像的鲁棒认证,提出了一种分级视觉哈希认证方案.该方案利用抖动量化的方法提取图像的小波频域特征矩阵,将不同频域特征进行区分作为具有分级性能的认证哈希特征.对特征矩阵进行二值化运算,并采用分块计算数据统计量的方法压缩数据,生成分级认证哈希码.哈希由图像的鲁棒和脆弱特征共同生成,可同时实现对恶意攻击敏感和常规处理鲁棒.通过实验证明了分级视觉哈希方案在鲁棒认证中的有效性.

Robust hash scheme for image authentication

For robust image authentication,a robust hash scheme is developed for hierarchical authentication.The image's feature matrix in the wavelet frequency domain is extracted by dithering quantization.Then the feature matrix is divided into blocks.The level hash data are obtained by using the binary statistical quantity of all blocks and the authentication hash code is generated.For the robust and fragile features in the extraction,the authenticated hash can be robust to incidental manipulations and fragile to malicious tampering.Experiments are conducted to demonstrate the effectiveness of the hierarchical hash scheme for image authentication.