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Showing papers in "Signal Processing in 2016"


Journal ArticleDOI
TL;DR: A fusion-based method for enhancing various weakly illuminated images that requires only one input to obtain the enhanced image and represents a trade-off among detail enhancement, local contrast improvement and preserving the natural feel of the image.

464 citations


Journal ArticleDOI
TL;DR: A novel image encryption approach based on permutation-substitution (SP) network and chaotic systems that shows superior performance than previous schemes.

399 citations


Journal ArticleDOI
Linwei Yue1, Huanfeng Shen1, Jie Li1, Qiangqiang Yuan1, Hongyan Zhang1, Liangpei Zhang1 
TL;DR: This paper aims to provide a review of SR from the perspective of techniques and applications, and especially the main contributions in recent years, and discusses the current obstacles for future research.

378 citations


Journal ArticleDOI
Ling Xu1
TL;DR: A damping parameter estimation algorithm for dynamical systems based on the sine frequency response is proposed and a damping factor is introduced in the proposed iterative algorithm in order to overcome the singular or ill-conditioned matrix during the iterative process.

224 citations


Journal ArticleDOI
TL;DR: A novel signal denoising method that combines variational mode decomposition (VMD) and detrended fluctuation analysis (DFA), named DFA-VMD, is proposed in this paper and shows the superior performance of this proposed filtering over EMD-based denoisings and discrete wavelet threshold filtering.

214 citations


Journal ArticleDOI
TL;DR: An automatic quantitative image analysis technique of BCH images with top-bottom hat transform applied for nuclei segmentation and a double-strategy splitting model containing adaptive mathematical morphology and Curvature Scale Space corner detection method is applied to split overlapped cells for better accuracy and robustness.

206 citations


Journal ArticleDOI
TL;DR: A new 3D bit matrix permutation is proposed, in which the Chen system is used to develop a random visiting mechanism to the bit level of the plain-image, and a new mapping rule is developed to map one random position to another random position in the 3D matrix rather than using traditional sequential visiting to theplain-image.

186 citations


Journal ArticleDOI
TL;DR: The problems of statistical function estimation, signal detection, and cycle frequency estimation, and applications in communications are addressed and spectrum sensing and signal classification for cognitive radio, source location, MMSE filtering, and compressive sensing are discussed.

176 citations


Journal ArticleDOI
TL;DR: This work analyzes the behavior of VMD in the presence of irregular samples, impulsive response, fractional Gaussian noise as well as tones separation, and finds that it reveals a different equivalent filter bank structure, robustness with respect to the nonuniformly sampling and good resolution in spectrum analysis.

169 citations


Journal ArticleDOI
TL;DR: A robust image encryption algorithm is proposed based on DNA and ECDHE that can resist exhaustive attacks and is apt for practical applications.

169 citations


Journal ArticleDOI
Chengqing Li1
TL;DR: It is found that only known/chosen plain-images are sufficient to achieve a good performance, and the computational complexity is O, which effectively demonstrates that hierarchical permutation-only image encryption algorithms are less secure than normal (i.e., non-hierarchical) ones.

Journal ArticleDOI
TL;DR: The proposed RNA-LMS/F algorithm exhibits an improved performance in terms of the convergence speed and the steady-state error, which can provide a zero attractor to further exploit the sparsity of the channel by the use of the norm adaption penalty and the reweighting factor.

Journal ArticleDOI
TL;DR: A comprehensive review of the twenty years' research and development works for digital audio watermarking, based on an exhaustive literature survey and careful selections of representative solutions, reveals current challenges in developing a global solution robust against all the attacks considered.

Journal ArticleDOI
TL;DR: In this article, the authors proposed a method based on dynamic path optimization and fixed point iteration to find an appropriate ridge curve: a sequence of amplitude peak positions (ridge points), corresponding to the component of interest and providing a measure of its instantaneous frequency.

Journal ArticleDOI
TL;DR: A new method to reduce cross-terms in the Wigner-Ville distribution (WVD) using tunable-Q wavelet transform (TQWT), which exploits the advantages of sub-band filtering of filter-bank and also retaining the time-resolution property of the wavelet decomposition to achieve signal decomposition.

Journal ArticleDOI
TL;DR: A novel separable and error-free reversible data hiding scheme in encrypted images is proposed that may reversibly embed secret data into interpolation-error using a modified version of histogram shifting and difference expansion technique.

Journal ArticleDOI
TL;DR: A fully and unbiasedly parallel implementation framework of the SMC-PHD filtering is proposed based on the centralized distributed system that consists of one central unit (CU) and several independent processing elements (PEs).

Journal ArticleDOI
TL;DR: An incipient fault detection method that does not need any a priori information on the signals distribution or the changed parameters is proposed and an analytical model of the fault detection performances (False Alarm Probability and Missed Detection Probability) is developed.

Journal ArticleDOI
TL;DR: In this paper, a comprehensive study that systematically evaluates FVs and CNNs for image instance retrieval is presented, which shows that no descriptor is systematically better than the other and that performance gains can usually be obtained by using both types together.

Journal ArticleDOI
TL;DR: A robust watermarking scheme based on orthogonal Fourier-Mellin moments and chaotic map is introduced, which achieves copyright authentication for double images simultaneously and is more robust than previous schemes.

Journal ArticleDOI
TL;DR: A two-stage framework for multimodal video classification based on stacked contractive autoencoders based on deep networks for video classification achieves better performance compared with the state-of-the-art methods.

Journal ArticleDOI
TL;DR: Support vector machine (SVM) classification based Fuzzy filter (FF) is proposed for removal of impulse noise from gray scale images and suggests that this system outperforms some of the state of art methods while preserving structural similarity to a large extent.

Journal ArticleDOI
TL;DR: The adapt-then-combine diffusion LMS algorithm is modified by applying the sign operation to the error signals at all agents to develop a diffusion sign-error LMS (DSE-LMS) algorithm, which is robust against impulsive interferences and analyzed for Gaussian inputs and contaminated Gaussian noise based on Price's theorem.

Journal ArticleDOI
TL;DR: Adapted MFCC and PLP coefficients improve human activity recognition and segmentation accuracies while reducing feature vector size considerably, overcome significantly baseline error rates and contribute significantly to reduce the segmentation error rate.

Journal ArticleDOI
TL;DR: This paper investigates the source localization problem based on time difference of arrival (TDOA) measurements in the presence of random noises in both the TDOA and sensor location measurements to derive a primal-dual interior point algorithm to reach a global solution efficiently.

Journal ArticleDOI
TL;DR: In this paper, a nonlinear filtering method Cubature Kalman filter (CKF) is introduced and analysed through Taylor expansion showing the CKF's capability in capturing higher-order terms of nonlinear system and indicates that it benefits only when implemented with nonlinear systems.

Journal ArticleDOI
TL;DR: A novel local summation anomaly detection method (LSAD) which combines the multiple local distributions from neighboring local windows surrounding the pixel under test (PUT) with spectral-spatial feature integration.

Journal ArticleDOI
TL;DR: An optimized normalized least-mean-square (NLMS) algorithm is developed for system identification, in the context of a state variable model, based on a joint-optimization on both the normalized step-size and regularization parameters, in order to minimize the system misalignment.

Journal ArticleDOI
TL;DR: An effective method to evaluate the quality of stereoscopic images that are afflicted by symmetric distortions is proposed and a new 3D saliency map is developed, which not only greatly reduces the computational complexity by avoiding calculation of the depth information, but also assigns appropriate weights to the image contents.

Journal ArticleDOI
TL;DR: A novel framework to classify charts by combining convolutional networks and deep belief networks is proposed, which greatly outperforms existing methods and achieves better scalability and stability.