关键词: 图像归一化, Slant变换, 图像哈希, 归一化汉明距离

Abstract: In order to improve the performance of image hashing algorithm with resistance to geometric distortions, a hashing method based on image normalization and Slant transform is proposed in this paper. The affine invariant image is obtained by using geometric moments invariants with image normalization method. The image is then blocked and Slant transform is applied, and middle-frequency coefficients are obtained. In addition, it further generates the image hashing sequence by using the user-key. Test results indicate that the proposed method is robust to common image procession and geometric distortions, and sensitive to the user-key, so the method proposed in this paper is effective.

Key words: image normalization, Slant transform, image hashing, normalized Hamming distance