Paper Info
Title
A Comparative Study On Chaotic Map Approaches For Transform Domain Watermarking Algorithm
Abstract
Watermarking is identified as a major technology to achieve copyright protection and multimedia security. In this study, combination of Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) via Lower-and-Upper (LU) Decomposition is used as a transform domain watermarking algorithm with a comparative study on chaotic map approaches as Logistic Map (LM), Asymmetric Tent Map (ATM), and Arnold's Cat Map (ACM). As quality metrics, Similarity Ratio (SR) values for ACM are greater by approximately 20% than that of LM and ATM despite nearly same Peak Signal-to-Noise Ratios (PSNRs) after attacks. This study expands the application areas of watermarking with the algorithm consisting DWT, SVD, and LU with chaotic maps together.
Year
Venue
Keywords
2015
2015 38TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP)
Arnold's cat map, asymmetric tent map, discrete wavelet transform, logistic map, lower-and-upper decomposition, singular value decomposition
Field
DocType
Citations 
Singular value decomposition,Mathematical optimization,Digital watermarking,Tent map,Computer science,Logistic map,Algorithm,Discrete wavelet transform,Arnold's cat map,Chaotic,Wavelet packet decomposition
Conference
0
PageRank 
References 
Authors
0.34
15
3
Name
Order
Citations
PageRank
Onur Jane131.13
H. G. Ilk2176.13
Ersin Elbasi3112.40