NMF-Based Image Hashing Algorithm Using Restricted Random Blocking
基于约束随机分块的NMF图像哈希算法

The NMF (Non-negative Matrix Factorization)-based image hashing is robust to common image operations (such as lossy compression, low-pass filtering, resolution scaling and etc.), but is sensitive to rotation operations. After carefully investigating the blocking strategy of the original NMF-based scheme, a rotation-resilient image hashing algorithm is proposed. The proposed algorithm reduces the undesirable effect induced by image rotation through constraining blocking range and adopting appropriate block size, and thus provides better robustness to image rotation. Experimental results demonstrate that the proposed hashing algorithm provides a satisfactory robustness to image rotation while keeping its performance to common image processing operations.