Showing papers in "Signal Processing in 2018"

TL;DR: A two-dimensional (2D) Logistic-Sine-coupling map (LSCM) is presented and performance estimations demonstrate that it has better ergodicity, more complex behavior and larger chaotic range than several newly developed 2D chaotic maps.

TL;DR: A novel image encryption scheme whose image pixels are diffused by the DNA approach and permutated by 2D-HSM, is proposed to protect image content while an image is transferred over the Internet.

TL;DR: A novel image encryption algorithm is designed by employing bit-level permutation and diffusion simultaneously, which has good encryption effect and high efficiency and can resist typical attacks including statistical, brute-force, differential attacks and so forth.

TL;DR: An image encryption algorithm based on chaotic system and compressive sensing and the ECA that can compress and encrypt the image simultaneously by use of CS, which may reduce the amount of data and storage space.

TL;DR: A solution for secure and efficient image encryption with the help of self-adaptive permutation–diffusion and DNA random encoding and the reusability of the random variables can dramatically promote the efficiency of the cryptosystem, which renders great potential for real-time secure image applications.

TL;DR: Simulations and evaluations show that both encryption schemes using bitwise XOR and modulo arithmetic have high security levels, can achieve much faster speeds, and can better adapt to impulse noise and data loss interference than several typical and state-of-the-art encryption schemes.

TL;DR: Experimental results and security analysis show that the presented encryption algorithm has a good encryption effect and can resist various typical attacks.

TL;DR: Two integrated chaotic systems are proposed, which conduct cascade, nonlinear combination, and switch operations to three basic 1D chaotic maps to generate new structures to improve the randomicity behaviors of some existing chaotic maps.

TL;DR: Experiments demonstrate that the practical fault-tolerant results of previous robust steganography methods consist with the theoretical derivation results, which provides a theory support for coding parameter selection and message extraction integrity to the robust Steganography based on “Compression-resistant Domain Constructing + RS-STC Codes”.

TL;DR: A two-stage least squares based iterative algorithm and a filtering based least squares iterative algorithms are proposed for estimating the parameters of bilinear systems with colored noises by using the hierarchical identification principle and the data filtering technique.

TL;DR: The obtained results indicate that the fusion of artificially under-exposed images can effectively remove the effect of haze, even in challenging situations where other current image dehazing techniques fail to produce good-quality results.

TL;DR: By using Chosen-plaintext attack, it is found that the encrypted image can be completely cracked and this scheme is not applicable to secure communications.

TL;DR: Since only a portion of blocks are modified during embedding, the directly-decrypted image quality is satisfactory, and more bits can be embedded into the blocks belonging to smooth set, hence, embedding rate is acceptable.

TL;DR: The shortcomings of TDBMP have been analysed and a chosen plaintext attack has been proposed to break the scheme, and an enhanced algorithm is proposed to overcome the presented shortcomings and effectively ensure a secure image communication.

TL;DR: An FDA and multiple-input multiple-output hybrid radar to jointly estimate the ranges and angles of multiple targets via optimal transmit beamspace design and a cyclic optimization approach based on power method-like is developed to solve the non-convex design problem.

TL;DR: The proposed scheme can achieve automatic pairing of the estimated angles without any virtual aperture loss, thus it has better angle and MC estimation performance than existing methods.

TL;DR: Recent advances, such as different projection methods benefiting video coding, specialized video quality evaluation metrics and optimized methods for transmission, are all presented and classified in this paper.

TL;DR: A novel image feature, termed as local edge entropy, is proposed in this study to reduce the negative impact of inhomogeneity on image segmentation, and an active contour model is developed on the basis of this feature.

TL;DR: An effective approach, which is insensitive to various temporal duration and adequate for complex background, for human action recognition using depth sequences, is proposed by embedding the skeleton information into depth maps by taking account of the geometrical structure of human body and contribute to the recognition task in complex background.

TL;DR: A novel reversible data hiding scheme based on JPEG image, where coefficients from frequencies yielding less distortions for embedding are selected, and an advanced block selection strategy is applied to always modify the block yielding less simulated distortion.

TL;DR: A multi-innovation fractional order stochastic gradient (MIFOSG) algorithm, which involves a variable initial value scheme, is investigated to identify the Hammerstein nonlinear ARMAX systems.

TL;DR: This work converts the range-based target localization problem in adverse non-line-of-sight (NLOS) environments into a generalized trust region sub-problem (GTRS) framework and shows that the new algorithm possesses a steady NLOS bias mitigation capacity and represents an excellent alternative in the sense of the trade off between accuracy and complexity.

TL;DR: Experimental results show that SIRR is comparable to state-of-the-art full-reference and reduced-reference IQA measures in NSIs, and it can outperform most competitors in SCIs.

TL;DR: Two off-grid direction-of-arrival (DOA) estimation methods are proposed by using a two-step iterative technique and are superior to many other methods in estimation performance, which is verified by extensive numerical simulations.

TL;DR: A weight least squares method which is based on the first order Taylor expansions of the noise terms is developed and it reduces the estimation bias arising from the least squares (LS) method when the target is outside the convex hull formed by sensors.

TL;DR: In this paper, a convolutional neural network (CNN) was used for parameter transfer learning to enhance the detection rate on longitudinal data, and the long short-term memory (LSTM) was combined with CNN to model the temporal patterns in a sequence of multi-axis signals.

TL;DR: A novel two-stage medical image fusion scheme, which is based on non-subsampled shearlet transform (NSST) and simplified pulse coupled neural networks (S-PCNNs), is proposed in the hue-saturation-value (HSV) color space, and it can fuse more information into the final images than conventional methods.

TL;DR: Experimental results demonstrate that the original image is completely recovered without any information regarding key or equivalent key-stream making author's claim of large key-space insignificant.

TL;DR: In this paper, a fractional calculus based LMS algorithm with fast convergence properties and potential ability to avoid being trapped into local minima is presented, which outperforms other LMS algorithms in terms of convergence rate and accuracy.

TL;DR: Experimental results demonstrate that the proposed novel perceptual hashing scheme for color images can achieve satisfactory performances with respect to perceptual robustness and discrimination.