Paper Info
Title
Robust blind image watermarking with independent component analysis: a embedding algorithm
Abstract
The authors propose a new solution to the blind robust watermarking of digital images. In this approach we embed the watermark into the independent components of the image. Since independent components are related to the edges of the image, this method has a little perceptual impact on the watermarked image. Besides, we exploit the orthogonality of independent components and spread-spectrum generated watermarks in the blind extraction of the watermark. As extraction algorithm we use a simple matched filter. We also improve this novel method with standard techniques such as perceptual masking and holographic properties. Some experiments are included to illustrate the good performance of the algorithm against compression, cropping, filtering or quantization based attacks.
Year
DOI
Venue
2005
10.1007/11494669_135
IWANN
Keywords
Field
DocType
watermarked image,independent component analysis,digital image,perceptual masking,perceptual impact,independent component,novel method,extraction algorithm,good performance,robust blind image,blind robust watermarking,blind extraction,embedding algorithm,matched filter,spread spectrum
Digital watermarking,Computer science,Digital image,Watermark,Artificial intelligence,Matched filter,Computer vision,Steganography,Pattern recognition,Algorithm,Filter (signal processing),Independent component analysis,Quantization (signal processing)
Conference
Volume
ISSN
ISBN
3512
0302-9743
3-540-26208-3
Citations 
PageRank 
References 
0
0.34
8
Authors
2
Name
Order
Citations
PageRank
Juan José Murillo-Fuentes118223.93
Rafael Boloix-Tortosa2427.20