Novel watermarking scheme for image authentication using vector quantization approach
- Autores: Tiwari A.1, Sharma M.2
- 
							Afiliações: 
							- Chhatrapati Shivaji Institute of Technology
- Bhilai Institute of Technology
 
- Edição: Volume 60, Nº 4 (2017)
- Páginas: 161-172
- Seção: Article
- URL: https://journal-vniispk.ru/0735-2727/article/view/177055
- DOI: https://doi.org/10.3103/S0735272717040021
- ID: 177055
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Resumo
In this paper a new invisible watermarking algorithm using vector quantization (VQ) approach for image content authentication application is proposed. At the first stage, a robust verification watermark is embedded using properties of indices of vector quantized image using key based approach. At the second stage, the semi-fragile watermark is embedded by using modified index key based (MIKB) method. Robust watermark andVQenhance the security of the system by providing its double protection. The semi-fragile watermark is utilized for the authentication of the received image. Blind extraction of the watermark is performed independently in two successive steps i.e. in the order of embedding. Further, in oder to classify quantitatively an incidental or intentional attack, which at present is not being followed, a quantitative threshold approach using pixel neighborhood clustering is suggested. The existing methods employ the qualitative approach of identifying incidental or intentional attacks. Imperceptibility of watermarked image is 41 dB on the average, and it is also possible to detect and locate tamper with very high sensitivity. The present scheme is compared with the existing algorithms. The performance of proposed algorithm has been tested on various practical images. It outperforms in distinguishing malicious tampering from content preserving changes and the tampered regions are accurately localized.
Sobre autores
Archana Tiwari
Chhatrapati Shivaji Institute of Technology
							Autor responsável pela correspondência
							Email: archanat1972@gmail.com
				                					                																			                												                	Índia, 							Durg						
Manisha Sharma
Bhilai Institute of Technology
														Email: archanat1972@gmail.com
				                					                																			                												                	Índia, 							Durg						
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