LIÊN KẾT WEBSITE
Independent Component Analysis applied to watermark extraction and its implemented model on FPGAs
Proceedings - 5th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2010 Số , năm 2010 (Tập , trang 71-76)
DOI: 10.1109/DELTA.2010.39
Tài liệu thuộc danh mục: Scopus
Conference Paper
English
Từ khóa: Audio watermarking; Audio watermarks; Blind watermark; Communication channel; Detection performance; Layer 1; Quantization-based watermarking; Spartan-3; Strength of noise; Watermark decoding; Watermark extraction; Audio acoustics; Digital watermarking; Hemodynamics; Motion Picture Experts Group standards; Watermarking; Independent component analysis
Tóm tắt tiếng anh
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. � 2010 IEEE.
