A robust watermarking method based on Compressed Sensing and Arnold scrambling

Author

Veena, V.K. ; Jyothish Lal, G. ; Vishnu Prabhu, S. ; Sachin Kumar, S. ; Soman, K.P.

Author_Institution

Centre For Excellence in Comput. Eng. & Networking, Amrita Vishwa Vidyapeetham, Coimbatore, India

fYear

2012

fDate

14-15 Dec. 2012

Firstpage

105

Lastpage

108

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.

Keywords

authorisation; compressed sensing; copyright; cryptography; data encapsulation; image reconstruction; image watermarking; multimedia systems; transforms; Arnold scrambling method; Arnold transform; authentication; compressed sensing; copyright protection; data compression; data encryption; digital multimedia signals; information hiding; robust watermarking method; sparse signal rcconstruction; Biomedical imaging; Encryption; Image coding; Image restoration; Out of order; Sensors; Arnold scrambling Method; Compressive sensing; Decryption; Encryption; Watermarking;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Vision and Image Processing (MVIP), 2012 International Conference on

Conference_Location

Taipei

Print_ISBN

978-1-4673-2319-2

Type

conf

DOI

10.1109/MVIP.2012.6428771

Filename

6428771