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Quantization Index Modulation is an important class of watermark methods, which has been widely used in blind watermark applications. And it is well known that spread transform dither modulation (STDM), as an extension of QIM, has good performance in robustness to random noise and re-quantization. However, the quantization step sizes used in STDM are random numbers not taking the feature of the image...
A novel watermarking method using singular value decomposition (SVD) is presented in this paper. In this algorithm, a 3D model is taken as a model that consists of triangular meshes, and we select some triangles called independent triangles set (ITS) to generate a Hankel matrix and apply SVD on it, then watermarks are embedded through modulating singular values. The watermarks that embedded by this...
An independent triangles set-based watermarking algorithm using singular value decomposition (SVD) is presented in this paper. In this algorithm, a 3D model is taken as a model that consists of triangular meshes, and we select the triangles called independent triangles set (ITS) to generate a Hankel matrix and apply SVD on it, then watermarks are embedded by modulating singular values. The watermarks...
The theoretic foundation of traditional microphone array post-filters is the assumption that the noise between sensors is uncorrelated. However, this assumption is inaccurate in real environments since the correlated noise exists. In this paper, a generalized microphone array post-filter is proposed to deal with both the correlated and uncorrelated noise in environments and a novel perceptual filter...
As wireless sensor networks (WSN) become the wave of the future, the performance capability of these networks has become a recent hot topic. Unfortunately, a theoretic capacity for WSN is unknown in general up to the present. In this paper, we look at the achievable rates of WSN. The optimal rates can be found by an exhaustive search through every possible route in the network. This proves to be extremely...
In environments of strong background noise and reverberations, enhancement performance of classic microphone array enhancement systems is still not enough. Since ICA (independent component analysis) can separate independent sources only from observations, in this paper ICA is applied to highly noisy sensor signals to obtain cleaner speech signals, which are taken as inputs to the following microphone...
In this paper, a kind of super-resolution image fusion algorithm is proposed to regularize the distortion of the reconstructed high-resolution (HR) image caused by the inaccurate image registration and the observation noise. For this purpose, the registration error, caused by inaccurate image registration, is considered as the noise mean added in the observation noise known as additive white Gaussian...
This paper presents a novel maximum a posteriori (MAP) denoising algorithm based on the independent component analysis (ICA). We demonstrate that the employment of individual ICA transformations for signal and noise can provide the best estimate within the linear framework. The signal enhancement problem is categorized based on the distribution of signal and noise being Gaussian or non-Gaussian and...
This paper presents an effective single-channel speech enhancement algorithm that combines the merits of multi-band analysis and minimum-mean-squared-error (MMSE) spectral subtraction. Conventional spectral subtraction algorithm advocates subtraction of the noise spectrum estimate over the entire speech spectrum. Taking that most real-world noise are colored with a nonuniform spectrum into account,...
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