Paper Info
Title
Independent Component Analysis Applied to Watermark Extraction and its Implemented Model on FPGAs
Abstract
Most of published audio watermark algorithms are suffered a trade-off between inaudibility and detectibility, and the detection performance depends greatly on the strength of noise added by communication channels. This work introduces an audio watermarking method that can overcome this challenge, i.e. allows increasing watermark strength while preserving inaudibility. The scheme uses psychoacoustic masking compatible to MPEG layer 1 Model 1 and adjusts it in a data adaptive way. A blind watermark extraction technique using the Independent Component Analysis (ICA) is shown to minimize the watermark decoding error. An implementation of a simple quantization-based watermarking algorithm (LSB) on the Spartan-3 FPGA Starter Kit of Xilinx is also presented as a part of hardware demonstration of the method.
Year
DOI
Venue
2010
10.1109/DELTA.2010.39
DELTA
Keywords
Field
DocType
spartan-3 fpga starter kit,independent component analysis applied,simple quantization-based watermarking algorithm,communication channel,watermark strength,audio watermarking method,mpeg layer,watermark extraction,watermark decoding error,independent component analysis,blind watermark extraction technique,audio watermark algorithm,implemented model,noise,algorithm design and analysis,fpga,communication channels,correlation,field programmable gate arrays,decoding,lsb,watermarking
Digital watermarking,Algorithm design,Computer science,Electronic engineering,Watermark,Independent component analysis,Decoding methods,Audio watermark,Quantization (signal processing),Least significant bit
Conference
ISBN
Citations 
PageRank 
978-1-4244-6026-7
1
0.45
References 
Authors
6
7
Name
Order
Citations
PageRank
Thuong Le-Tien14610.64
Dien Vo-Ngoc210.45
Lan Ngo-Hoang310.45
Sung Young Lee4214.35
Le-Tien, T.510.45
Vo-Ngoc, D.610.45
Ngo-Hoang, L.710.45