Paper Info
Title
A Fast And Robust Image Watermarking Scheme Using Improved Singular Value Decomposition
Abstract
With the popularity of editing software and the Internet, digital content can easily be manipulated and distributed. Therefore, illegal reproduction of digital products became a real problem. Watermarking has been considered as an effective solution for copyright protection and authentication. However, watermarking schemes usually have encountered some difficulties, such as computational complexity, imperceptibility and robustness. In this paper, based on improved singular value decomposition (SVD), we proposed a new image watermarking scheme in order to reduce the computational complexity. To this end, we designed an algorithm to directly compute the largest eigenvalues and eigenvectors of the analyzed image segmented blocks. Moreover, an adaptive embedding technique was utilized to improve the robustness of the proposed scheme. Experimental results showed that the scheme is fast and good for digital image watermarking and it outperforms several widely used schemes in terms of robustness and imperceptibility.
Year
DOI
Venue
2016
10.1007/978-3-662-49381-6_75
INTELLIGENT INFORMATION AND DATABASE SYSTEMS, ACIIDS 2016, PT I
Keywords
Field
DocType
Digital watermarking, SVD, Eigenvalue, Eigenvector
Data mining,Singular value decomposition,Digital watermarking,Authentication,Embedding,Computer science,Algorithm,Robustness (computer science),Software,Digital content,Computational complexity theory
Conference
Volume
ISSN
Citations 
9621
0302-9743
0
PageRank 
References 
Authors
0.34
7
3
Name
Order
Citations
PageRank
Cao Thi Luyen100.34
Hieu Cuong Nguyen2133.55
Pham Van At311.71