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 …

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 …

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 …

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 …

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 …

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 …

Recently, locality-constrained linear coding (LLC) has been drawn great attentions and
been widely used in image processing and computer vision tasks. However, the …

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 …

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 …

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 …