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Content Provider | IET Digital Library |
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Author | Tang, Zhenjun Zhang, Hanyun Pun, Chi Man Yu, Mengzhu Yu, Chunqiang Zhang, Xianquan |
Abstract | Image hashing is an efficient technique of multimedia processing for many applications, such as image copy detection, image authentication, and social event detection. In this study, the authors propose a novel image hashing with visual attention model and invariant moments. An important contribution is the weighted DWT (discrete wavelet transform) representation by incorporating a visual attention model called Itti saliency model into LL sub-band. Since the Itti saliency model can efficiently extract saliency map reflecting regions of attention focus, perceptual robustness of the proposed hashing is achieved. In addition, as invariant moments are robust and discriminative features, hash construction with invariant moments extracted from the weighted DWT representation ensures good classification performance between robustness and discrimination. Extensive experiments with open image datasets are done to validate the performances of the proposed hashing. The results demonstrate that the proposed hashing is robust and discriminative. Performance comparisons with some hashing algorithms are also conducted, and the receiver operating characteristic results illustrate that the proposed hashing outperforms the compared hashing algorithms in classification performance between robustness and discrimination. |
Starting Page | 901 |
Ending Page | 908 |
Page Count | 8 |
ISSN | 17519659 |
Volume Number | 14 |
e-ISSN | 17519667 |
Issue Number | Issue 5, Apr (2020) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-ipr/14/5 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.1157 |
Journal | IET Image Processing |
Publisher Date | 2019-12-11 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Attention Focus Authors Compared Hashing Algorithm Computer Vision And Image Processing Technique Cryptography Data Security Discrete Wavelet Transform Feature Extraction Image And Video Coding Image Authentication Image Classification Image Coding Image Copy Detection Integral Transforms Invariant Moments Itti Saliency Model Open Image Datasets Optical, Image And Video Signal Processing Perceptual Robustness Robot Vision Robust Image Hashing Social Event Detection Visual Attention Model Wavelet Transform Weighted DWT Representation |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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