Distributed Lyapunov-based model predictive formation tracking control for autonomous underwater vehicles subject to disturbances
This article studies the formation tracking problem of a team of autonomous underwater
vehicles (AUVs) with the ocean current disturbances. A distributed Lyapunov-based model …
vehicles (AUVs) with the ocean current disturbances. A distributed Lyapunov-based model …
Weighted joint sparse representation for removing mixed noise in image
Joint sparse representation (JSR) has shown great potential in various image processing
and computer vision tasks. Nevertheless, the conventional JSR is fragile to outliers. In this …
and computer vision tasks. Nevertheless, the conventional JSR is fragile to outliers. In this …
Mixed noise removal via Laplacian scale mixture modeling and nonlocal low-rank approximation
Recovering the image corrupted by additive white Gaussian noise (AWGN) and impulse
noise is a challenging problem due to its difficulties in an accurate modeling of the …
noise is a challenging problem due to its difficulties in an accurate modeling of the …
Weighted couple sparse representation with classified regularization for impulse noise removal
Many impulse noise (IN) reduction methods suffer from two obstacles, the improper noise
detectors and imperfect filters they used. To address such issue, in this paper, a weighted …
detectors and imperfect filters they used. To address such issue, in this paper, a weighted …
[HTML][HTML] Improved approximated median filter algorithm for real-time computer vision applications
O Appiah, M Asante, JB Hayfron-Acquah - Journal of King Saud University …, 2022 - Elsevier
Median filter is one of the predominant filters that are used to suppress impulse noise. Its
simplicity and ability to maintain edges has led to an extensive application in the domain of …
simplicity and ability to maintain edges has led to an extensive application in the domain of …
Removal of salt-and-pepper noise in corrupted image using three-values-weighted approach with variable-size window
CT Lu, YY Chen, LL Wang, CF Chang - Pattern Recognition Letters, 2016 - Elsevier
The quality of a digital image deteriorates by the corruption of impulse noise in the record or
transmission. The process of efficiently removing this impulse noise from a corrupted image …
transmission. The process of efficiently removing this impulse noise from a corrupted image …
Robust face hallucination via locality-constrained bi-layer representation
Recently, locality-constrained linear coding (LLC) has been drawn great attentions and
been widely used in image processing and computer vision tasks. However, the …
been widely used in image processing and computer vision tasks. However, the …
CDMMA: Coupled discriminant multi-manifold analysis for matching low-resolution face images
Face images captured by surveillance cameras usually have low-resolution (LR) in addition
to uncontrolled poses and illumination conditions, all of which adversely affect the …
to uncontrolled poses and illumination conditions, all of which adversely affect the …
[HTML][HTML] Hand Gesture recognition in complex background based on convolutional pose machine and fuzzy Gaussian mixture models
Hand gesture is one of the most intuitive and natural ways for human to communicate with
computers, and it has been widely adopted in many human–computer interaction …
computers, and it has been widely adopted in many human–computer interaction …
A noisy multi-objective optimization algorithm based on mean and Wiener filters
R Liu, Y Li, H Wang, J Liu - Knowledge-Based Systems, 2021 - Elsevier
Recently, evolutionary algorithms have made great achievements in multi-objective
optimization problems (MOPs), but there is a little research on how to deal with noisy multi …
optimization problems (MOPs), but there is a little research on how to deal with noisy multi …