Review on Watermarking Approach in the Compressive Sensing Scenario
Main Article Content
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.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
IJCERT Policy:
The published work presented in this paper is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. This means that the content of this paper can be shared, copied, and redistributed in any medium or format, as long as the original author is properly attributed. Additionally, any derivative works based on this paper must also be licensed under the same terms. This licensing agreement allows for broad dissemination and use of the work while maintaining the author's rights and recognition.
By submitting this paper to IJCERT, the author(s) agree to these licensing terms and confirm that the work is original and does not infringe on any third-party copyright or intellectual property rights.
References
“Digital Watermarking Using MATLAB” ,Pooya Monshizadeh Naini University of Tehran, Iran,2009.
“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
“A General Framework for Robust Compressive Sensing Based Nonlinear Regression”,Brian Moore, Manhattan, Kansas 66506, USA,2009.
“Model-Based Compressive Sensing”,Richard G. Baraniuk,Rice university,2009.
“Secure Multiparty Computation and Secret Sharing An Information Theoretic Approach”,Ronald Cramer,May 11, 2013.
“Study and Implementation of Watermarking Algorithms”,Alekhika Mohanty,Rourkela, India .April 2006.
“Watermark Detection Schemes with High Security” ,Liu Yongliang,Institute of Computing Technology, China,(ITCC’05).
“Steganography And Digital Watermarking”, Jonathan Cummins, The University of Birmingham,2004.
“Digital Watermark Detection in Visual Multimedia Content”,Peter Meerwald, University of Salzburg,2010.
”Practical challenges for digital watermarking applications”, Ravi.K.Sharma,USA,2002.
“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.