基于图像能量的稳健图像哈希算法.

In order to improve the classification performance and operation efficiency of the hash algorithm, this paper pro· posed an image hash algorithm based on gradient change feature and energy features. Firstly, the algorithm preprocessed the input image to obtain a secondary image, and used the Sobel operator to calculate the x-axis and y-axis gradient values of the red channel, green channel, and blue channel images of the secondary image . It added the gradient values of the images to obtain the final gradient image. Then it used the multi-directional change information of the gradient image amplitude as the gra-client feature, and used the energy values of all image sub-blocks as the energy features. Finally, it combined and scrambled the gradient feature and energy features of the image to generate the final hash sequence. The experimental results show that : the discrimination and robustness of the proposed algorithm can achieve a good trade off; compared with the latest and excellent hash algorithms, this algorithm has best ROC curve and the shortest average running time 0. 0242 s, and in the comparison experiment of copy detection, the R-P curve of the proposed algorithm is the best. [ABSTRACT FROM AUTHOR]