Showing papers in "Signal Processing in 2009"

TL;DR: A novel image fusion algorithm based on the nonsubsampled contourlet transform (NSCT) is proposed, aiming at solving the fusion problem of multifocus images, and significantly outperforms the traditional discrete wavelets transform-based and the discrete wavelet frame transform- based image fusion methods.

TL;DR: The similarity of neighboring pixels in the images was explored by using the prediction technique and the residual histogram of the predicted errors of the host image was used to hide the secret data in the proposed scheme, and a higher hiding capacity was obtained and a good quality stego-image was preserved.

TL;DR: A new region-based active contour model in a variational level set formulation for image segmentation that is able to distinguish regions with similar intensity means but different variances and is demonstrated by applying the method on noisy and texture images.

TL;DR: This paper presents a new approach to image deconvolution (deblurring), under total variation (TV) regularization, which is adaptive in the sense that it does not require the user to specify the value of the regularization parameter.

TL;DR: A joint direction of arrivals (DOAs) and direction of departures (DODs) estimation algorithm for bistatic multiple-input multiple-output (MIMO) radar via ESPRIT by means of the rotational factor produced by multi-transmitter is presented.

TL;DR: Through the comparison to compound chaos with 2D baker and DES encryption methods, it is concluded that the new image encryption method with speed and high security solves the problem unable to resist chosen plaintext attack and low precision of one-dimensional chaotic function by perturbation.

TL;DR: An auxiliary model based multi-innovation extended stochastic gradient algorithm is presented by using the auxiliary model method and by expanding the scalar innovation to an innovation vector that can generate highly accurate parameter estimates.

TL;DR: A wavelet leader based multifractal analysis, known to be theoretically strongly grounded, is described and assessed for 2D functions (images) and shown to benefit from much better practical estimation performances than those obtained from a 2D discrete wavelet transform coefficient analysis.

TL;DR: The block artifact grids are extracted blindly with a new extraction algorithm, and then abnormal BAGs can be detected with a marking procedure, and the phenomenon of grid mismatch or grid blank can be taken as a trail of such forensics.

TL;DR: This paper proposes a content-based watermarking scheme that combines the invariant feature extraction with watermark embedding by using Tchebichef moments to realize the robustness to common image processing operations and the blind detection.

TL;DR: A set of homomorphic transformations are derived that enable the use of existing denoising algorithms for non-clipped data and can be ''plugged'' into current filtering implementations to enable a more accurate and better processing of clipped data.

TL;DR: A simple algorithm for detection of points in the time-frequency plane of the instantaneous mixtures where only single source contributions occur and these points are identified as single-source-points (SSPs) by comparing the absolute directions of the real and imaginary parts of the Fourier transform coefficient vectors of the mixed signals.

TL;DR: A new colour space is used which contains error signals derived from differentiating the grayscale map and the non-red encodedgrayscale version to show that luminance can be useful in the segregation of skin and non-skin clusters.

TL;DR: A novel data acquisition system for wideband synthetic aperture imaging based on CS by exploiting sparseness of point-like targets in the image space by using linear projections of the returned signals with random vectors as measurements.

TL;DR: The formulation of NPPC for binary data classification is based on two identical mean square error (MSE) optimization problems which lead to solving two small systems of linear equations in input space and it eliminates the need of any specialized software for solving the quadratic programming problems (QPPs).

TL;DR: This work has considered an approach based on discretizing the continuous LCT, making careful consideration of the consequences for the range and resolution of the output.

TL;DR: The application of digital curvelet transform in conjunction with different dimensionality reduction tools, looking particularly at the problem of facial feature extraction from 2D images, shows that curvelets can serve as an effective alternative to wavelets as a feature extraction tool.

TL;DR: Experiments performed on linear Gaussian, linear non-Gaussian, and nonlinear systems with varying in-band noise levels, data lengths, and kernel sizes confirm that correntropy can be employed as a discriminative measure for detecting nonlinear characteristics in time series.

TL;DR: This paper proposes a conjugate gradient (CG) algorithm on the Lie group of unitary matrices U(n) and shows that the proposed algorithm outperforms other existing algorithms in terms of convergence speed and computational complexity.

TL;DR: A novel fragile watermarking scheme with a hierarchical mechanism, in which pixel-derived and block-derived watermark data are carried by the least significant bits of all pixels, capable of recovering the original watermarked version without any error.

TL;DR: In this paper, a delay-dependent H"~ performance analysis result is established for error systems without ignoring any terms in the derivative of Lyapunov functional by considering the relationship between the time-varying delay and its upper bound.

TL;DR: A Legendre NN (LeNN) model is proposed whose performance is better than the FLANN due to simple polynomial expansion of the input in contrast to the trigonometric expansion in the latter.

TL;DR: Extensive experimental results and comparisons with existing methods show the effectiveness of the LLGP representation method and the weighting strategy, and heterogeneous testing results show that the LL GP codebook has very impressive generalizability for unseen data.

TL;DR: Three novel elements are introduced: the concept of representing the composite demodulated signal in the complex plane as a vector sum of various components, combining dc coupling with block mean removal, and adaptive cancellation of respiration harmonics.

TL;DR: Quantitative comparison of the error between the true and estimated signal revealed that the wavelet-based methods outperformed the Wiener estimator in most cases, and the EB method outperforms the soft and hard thresholding methods in general.

TL;DR: A new hierarchical Bayesian model appropriate to the non-negativity and sum-to-one constraints associated to the sources and the mixing coefficients of linear mixtures and is applied to the processing of multicomponent chemical mixtures resulting from Raman spectroscopy.

TL;DR: The H"~ filtering problem is studied for a class of network-based systems with random delay in discrete-time domain and a new model is proposed to describe the filtering system with random sensor-filter delay which may be longer than one sampling period.

TL;DR: An adjacent-block based statistical detection method for self-embedding watermarking techniques to accurately identify the tampered blocks, and an analytical analysis of the tamper detection performance is given.

TL;DR: This paper proposes an algorithm that allows us to estimate the parameters of the interleaver at the output of a binary symmetric channel and to locate the codewords in theinterleaved block.

TL;DR: The proposed algorithm gives a suboptimal estimate for systems with unbounded delays and packet dropouts by selecting a sufficient large upper bound and a simulation shows the effectiveness of the proposed algorithms.