Design and Implementation of Image Authentication Technique using Probabilistic Principal Component Analysis
Digital watermarking play an important role in information security. It majorly focusses on the authentication of the information. The authentication provides the genuinity of the owner of the information. The present paper focuses on the development of a novel Probabilistic Principal Component Analysis based Transform domain wtaremerking method (PPCATDW). The proposed PPCATDW method uses wavelet transformation domain for watermarking process. It interanlly uses pricnipal component analysis based information for the identification of the influential representation points of the input image. The proposed method is experimented with the fourteen images and the results show the efficacy of the proposed method.
Authors
- Khaja Mizbahuddin Quadry
- Ayesha Parveen
Institutions
- Indian Institute of Technology Hyderabad (IN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-05-31
- DOI
- https://doi.org/10.5281/zenodo.20470527
- Primary Topic
- Advanced Steganography and Watermarking Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00