Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8953879 | ICT Express | 2018 | 6 Pages |
Abstract
This study proposes a robust hashing method using scale-invariant feature transform (SIFT) features points and discrete wavelet transform (DWT) approximation coefficients for image authentication. Initially, the invariant feature points are computed using SIFT from the Lâ component of Lâaâbâ color image. Next, n distinct SIFT feature points are utilized to extract image content from the Lâ component. Then, DWT is applied to extracted content in order to compute approximation coefficients. Finally, the approximation coefficients are normalized to form a binary hash. Experimental results show that the proposed method is robust to various content-preserving operations such as compression, scaling, filtering, additive noise, brightness, and contrast adjustment. In addition, the performance of the proposed method is compared to existing methods using a receiver operating characteristics curve. The comparison results show that the proposed method performs better than the existing methods.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Lokanadham Naidu Vadlamudi, Rama Prasad V. Vaddella, Vasumathi Devara,