Compressive sensing principle claims that a compressible signal can be recovered from a
small number of random linear measurements. However, the design of efficient …

We propose a novel method to accurately reconstruct a set of images representing a single
scene from a few linear multiview measurements. Each observed image is modeled as the …

Compressed sensing (CS) is the theory and practice of sub-Nyquist sampling of sparse
signals of interest. Exact reconstruction may then be possible with much fewer than the …

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

Scalable Video Coding (SVC) is an international standard technique for video compression.
It is an extension of H. 264 Advanced Video Coding (AVC). In the encoding of video streams …

Our recent work has shown that quality of compressed sensing reconstruction can be
improved immensely by minimising the error between the signal and a correlated reference …

A fast compressed sensing reconstruction using least squares method with the signal
correlation is presented in this paper. It is well known that the complexity of l1-minimisation …

Abstract The interest in Distributed Video Coding (DVC) systems has grown considerably in
the academic world in recent years. With DVC the correlation between frames is exploited at …

This paper proposesa novel joint reconstruction algorithm to decode sets of correlated
images from distributively compressed images. We consider a scenario where the images …

We address two challenges of applying compressed sensing in a practical application,
namely, its poor reconstruction quality and its high computational complexity. Since most …