Robust Image Hashing via Random Gabor Filtering and DWT

• 作者: Heng Yao Jilian Zhang Man Ling Shijie Xu Xianquan Zhang Zhenjun Tang Zhenxing Qian
• 来源期刊: 计算机、材料和连续体(英文)
• 学科: 工学
• 关键词: Image HASHING GABOR filtering CHAOTIC MAP SKEW TENT MAP discrete wavelet transform.
• 年，卷（期）: 2018,（5）
• 页码范围: 331-344
• 页数: 14页
• 分类号: TP3

摘要

Image hashing is a useful multimedia technology for many applications,such as image authentication,image retrieval,image copy detection and image forensics.In this paper,we propose a robust image hashing based on random Gabor filtering and discrete wavelet transform(DWT).Specifically,robust and secure image features are first extracted from the normalized image by Gabor filtering and a chaotic map called Skew tent map,and then are compressed via a single-level 2-D DWT.Image hash is finally obtained by concatenating DWT coefficients in the LL sub-band.Many experiments with open image datasets are carried out and the results illustrate that our hashing is robust,discriminative and secure.Receiver operating characteristic(ROC)curve comparisons show that our hashing is better than some popular image hashing algorithms in classification performance between robustness and discrimination.