168 research outputs found
Spread Spectrum Watermarking: Principles and Applications in Fading Channel
ISBN 978-953-51-0618-
Statistical mechanical evaluation of spread spectrum watermarking model with image restoration
In cases in which an original image is blind, a decoding method where both
the image and the messages can be estimated simultaneously is desirable. We
propose a spread spectrum watermarking model with image restoration based on
Bayes estimation. We therefore need to assume some prior probabilities. The
probability for estimating the messages is given by the uniform distribution,
and the ones for the image are given by the infinite range model and 2D Ising
model. Any attacks from unauthorized users can be represented by channel
models. We can obtain the estimated messages and image by maximizing the
posterior probability.
We analyzed the performance of the proposed method by the replica method in
the case of the infinite range model. We first calculated the theoretical
values of the bit error rate from obtained saddle point equations and then
verified them by computer simulations. For this purpose, we assumed that the
image is binary and is generated from a given prior probability. We also assume
that attacks can be represented by the Gaussian channel. The computer
simulation retults agreed with the theoretical values.
In the case of prior probability given by the 2D Ising model, in which each
pixel is statically connected with four-neighbors, we evaluated the decoding
performance by computer simulations, since the replica theory could not be
applied. Results using the 2D Ising model showed that the proposed method with
image restoration is as effective as the infinite range model for decoding
messages.
We compared the performances in a case in which the image was blind and one
in which it was informed. The difference between these cases was small as long
as the embedding and attack rates were small. This demonstrates that the
proposed method with simultaneous estimation is effective as a watermarking
decoder
Augmented watermarking
This thesis provides an augmented watermarking technique wherein noise is based on the watermark added to the watermarked image so that only the end user who has the key for embedding the watermark can both remove the noise and watermark to get a final clear image. The recovery for different values of noise is observed. This system may be implemented as a basic digital rights management system by defining a regime of partial rights using overlaid watermarks, together with respectively added layers of noise, in which the rights of the users define the precision with which the signals may be viewed
A new algorithm for time-frequency spread coders using multirate filters
Filter banks have been shown to be efficient in several emerging signal communication applications. A new class of time-frequency spread coders for transmultiplexer systems using multirate filter banks is presented. As compared with conventional filter banks designed with stopband attenuation and passband flatness criteria, the user coders with the new algorithms are designed with time and frequency spread criteria. In new the algorithms, the filters are achieved through a cascade of lattice structures and delay chains. Along with the time-frequency property and the reconstruction property, the intercode/intracode correlation property are included in the design algorithms to be optimized. The designed coders are used in the application of digital watermarking of images and demonstrate good performance in JPEG encoding at different qualities.published_or_final_versio
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