Publication Type:

Conference Proceedings

Source:

2012 International Conference on Machine Vision and Image Processing (MVIP), Publisher: IEEE, Taipei, Taiwan (2012)

URL:

https://ieeexplore.ieee.org/abstract/document/6428771

Abstract:

Watermarking is a technique for information hiding, which is used to identify the authentication and copyright protection. In this paper, a new method of watermarking scheme is proposed, which uses both Compressed Sensing and Arnold scrambling method for efficient data compression and encryption. Compressive sensing technique aims at the reconstruction of sparse signal using a small number of linear measurements. Compressed measurements are then encrypted using Arnold transform. The proposed encryption scheme is computationally more secure against investigated attacks on digital multimedia signals.

Notes:

cited By (since 1996)1; Conference of org.apache.xalan.xsltc.dom.DOMAdapter@6757997b ; Conference Date: org.apache.xalan.xsltc.dom.DOMAdapter@281d8f3e Through org.apache.xalan.xsltc.dom.DOMAdapter@2ca74405; Conference Code:95713

Cite this Research Publication

V. K. Veena, Jyothish Lal G., S. Vishnu Prabhu, S. Sachin Kumar, and Dr. Soman K. P., “A robust watermarking method based on Compressed Sensing and Arnold scrambling”, 2012 International Conference on Machine Vision and Image Processing (MVIP). Publisher: IEEE, Taipei, Taiwan, 2012.