TAILIEUCHUNG - Báo cáo hóa học: " Research Article High-Rate Data-Hiding Robust to Linear Filtering for Colored Hosts"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article High-Rate Data-Hiding Robust to Linear Filtering for Colored Hosts | Hindawi Publishing Corporation EURASIP Journal on Information Security Volume 2009 Article ID 914937 14 pages doi 2009 914937 Research Article High-Rate Data-Hiding Robust to Linear Filtering for Colored Hosts Michele Scagliola 1 Fernando Perez-Gonzalez 2 and Pietro Guccione1 1 Dipartimento di Elettrotecnica ed Elettronica Politecnico di Bari Via E. Orabona 4 70125 Bari Italy 2Signal Theory and Communications Department University of Vigo 36200 Vigo Spain Correspondence should be addressed to Michele Scagliola Received 30 April 2009 Revised 24 July 2009 Accepted 24 September 2009 Recommended by Alessandro Piva The discrete Fourier transform-rational dither modulation DFT-RDM has been proposed as a way to provide robustness to linear-time-invariant LTI filtering for quantization-based watermarking systems. This scheme has been proven to provide high rates for white Gaussian hosts but those rates considerably decrease for nonwhite hosts. In this paper the theoretical analysis of DFT-RDM is generalized to colored Gaussian hosts supplied with an explanation of the performance degradation with respect to white Gaussian hosts. Moreover the characterization of the watermark-to-noise ratio in the frequency domain is shown as an useful tool to give a simple and intuitive measure of performance. Afterwards an extension of DFT-RDM is proposed to improve its performance for colored hosts without assuming any additional knowledge on the attack filter. Our analysis is validated by experiments and the results of several simulations for different attack filters confirm the performance improvement afforded by the whitening operation for both Gaussian colored hosts and audio tracks. Copyright 2009 Michele Scagliola et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. Introduction .

TÀI LIỆU LIÊN QUAN
Đã phát hiện trình chặn quảng cáo AdBlock
Trang web này phụ thuộc vào doanh thu từ số lần hiển thị quảng cáo để tồn tại. Vui lòng tắt trình chặn quảng cáo của bạn hoặc tạm dừng tính năng chặn quảng cáo cho trang web này.