The log-sum function as a penalty has always been drawing widespread attention in the
field of sparse problems. However, it brings a non-convex, non-smooth and non-Lipschitz …

Compressed sensing (CS) multi‐camera network reconstruction has attracted much
attention in the field of distributed CS networks. However, many multi‐camera network …

Acquiring massive data from wireless devices such as video sampling and transmission
remains a challenge in the resource-restricted wireless multimedia sensor networks …

Wireless visual sensor networks (WVSNs) with multiview wireless video streaming are
composed of camera sensor nodes that have overlapped fields of vision (FoV). Sensor …

Wireless Visual Sensor Network (WVSN) has become a valuable tool in addressing the
evolving needs of modern monitoring systems. Encoding in WVSNs is a multifaceted …

For multihypothesis-based compressed video sensing schemes, the low accuracy of weight
prediction and degradation of recovery quality for high-motion videos are open challenges …

This paper presents a procedure for reconstruction of spatially localized images from
compressively sampled measurements making use of Bayesian priors. The contribution of …

Nowadays, the WMSNs are promising for different applications and fields, specially with the
development of the IoT and cheap efficient camera sensors. The stereo vision is also very …

A novel framework in image sparse representation based on ensemble learning is proposed
in this paper. Due to the random extraction of training patches and the variation of single …