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Review on Watermarking Approach in the Compressive Sensing Scenario

Jystadi Hemalatha, Dr S.Prem Kumar, , ,

Affiliations
(M.Tech), CSE, Department of computer science and engineering.
Professor & HOD, Department of computer science and engineering, G.Pullaiah College of Engineering and Technology, Kurnool, Andhra Pradesh, India.

:NOT ASSIGNED

Abstract

Digital watermarking has been proposed as a technology to ensure copyright protection by embedding an imperceptible, yet detectable signal in visual multimedia content such as images or video. In every field key aspect is the security Privacy is a critical issue when the data owners outsource data storage or processing to a third party computing service. Several attempts has been made for increasing the security related works and avoidance of data loss. Existing system had attained its solution up to its level where it can be further able to attain the parameter refinement. In this paper improvising factor been made on the successive compressive sensing reconstruction part .Another consideration factor is to increase (CS) rate through deemphasize the effect of predictive variables that become uncorrelated with the measurement data which eliminates the need of (CS) reconstruction.

Citation

Jystadi Hemalatha,Dr S.Prem Kumar."Review on Watermarking Approach in the Compressive Sensing Scenario". International Journal of Computer Engineering In Research Trends (IJCERT) ,ISSN:2349-7084 ,Vol.2, Issue 09,pp.547-551, SEPTEMBER- 2015, URL :https://ijcert.org/ems/ijcert_papers/V2I905.pdf,

Keywords : Compressive sensing, Peak Signal to Noise Ratio, secure computing service, privacy preserving

References

[1]. “Digital Watermarking Using MATLAB” ,Pooya Monshizadeh Naini University of Tehran, Iran,2009. 
[2]. “A Secure Multi-Party Computation Protocol for Malicious Computation Prevention for preserving privacy during Data Mining”,Dr. Durgesh Kumar Mishra,International Journal of Computer Science and Information Security, Vol. 3, 2009 
[3]. “A General Framework for Robust Compressive Sensing Based Nonlinear Regression”,Brian Moore, Manhattan, Kansas 66506, USA,2009. 
[4]. “Model-Based Compressive Sensing”,Richard G. Baraniuk,Rice university,2009. 
[5]. “Secure Multiparty Computation and Secret Sharing An Information Theoretic Approach”,Ronald Cramer,May 11, 2013. 
[6]. “Study and Implementation of Watermarking Algorithms”,Alekhika Mohanty,Rourkela, India .April 2006. 
[7]. “Watermark Detection Schemes with High Security” ,Liu Yongliang,Institute of Computing Technology, China,(ITCC’05). 
[8]. “Steganography And Digital Watermarking”, Jonathan Cummins, The University of Birmingham,2004. 
[9]. “Digital Watermark Detection in Visual Multimedia Content”,Peter Meerwald, University of Salzburg,2010. 
[10]. ”Practical challenges for digital watermarking applications”, Ravi.K.Sharma,USA,2002. 
[11]. “A Compressive Sensing based Secure Watermark Detection and Privacy Preserving Storage Framework”, Qia Wang, Wenjun Zeng,ieee transactions on image processing, vol. 23, no. 3, march 2014.

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