关键词: 视觉安全性, 边缘相似度, 局部熵, 自适应融合

Abstract:

Aiming at the limitation of encryption visual security based on local entropy, the edge figure of the image is proposed. The edge similarity of encrypted image is measured by the shared edge, which eliminates the blocking effect of local entropy. Since the local entropy is insensitive to images with low encryption level and the edge similarity is insensitive to images with high encryption level, the two evaluation methods have a self-adaptive convergence and the index[SLEES]（Local Entropy and Edge Similarity, [SLEES）] is proposed. The images and video frames are processed by changing the pixel position and pixel value and then are tested. The experimental results indicate that the proposed index [SLEES] is more robust than the traditional evaluation indexes, and the evaluation range is wider.

Key words: visual security, edge similarity, local entropy, adaptive fusion